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AI Bias, Fairness & Ethics: How Can We Build Responsible AI?
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Dear Rahul Jain ,
You may want to keep an eye on this project, https://alfie-project.eu/ , it's about ethical AI :)
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Artificial Intelligence (AI) is increasingly influencing decision-making in various domains, from healthcare to business, governance, and social interactions. However, ethical values differ across cultures, making it crucial to design AI systems that are both universally fair and adaptable to local ethical principles.
Key Challenges
  1. Cultural Diversity in Ethics – Different cultures prioritize values differently. For example, Western societies may emphasize individual privacy, whereas collectivist cultures may value community welfare over personal data protection.
  2. Bias and Fairness – AI systems trained on biased datasets may reinforce cultural stereotypes or unfairly disadvantage certain groups.
  3. Regulatory Variability – AI regulations vary across countries, requiring adaptive ethical frameworks to ensure compliance while maintaining fairness.
  4. Moral Dilemmas in AI Decision-Making – AI must navigate morally complex situations, such as healthcare decisions, criminal justice, and social credit systems, where ethical perspectives differ.
Proposed Solutions
  1. Culturally Aware AI Design – AI should be developed using diverse datasets and tested across multiple cultural contexts to reduce bias.
  2. Ethical AI Governance Frameworks – Establishing global and local AI ethics committees that ensure AI aligns with human rights and cultural values.
  3. Explainability and Transparency – AI decision-making processes should be interpretable, allowing users from different cultures to understand and trust AI-driven outcomes.
  4. Human-AI Collaboration – Instead of replacing human decision-making, AI should assist humans by incorporating ethical guidelines that are flexible and adaptable to cultural differences.
  5. Adaptive AI Models – AI should be designed to adjust ethical decision-making based on contextual and regional cultural norms while ensuring fundamental human rights are not compromised.
Conclusion
For AI to be truly ethical, it must be designed with cultural sensitivity, fairness, and adaptability. A combination of global AI governance, diverse training data, and transparency in AI decision-making will be key to ensuring AI aligns with human ethical values across different cultures.
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To be honest, I believe that all ethics are biased. Moreover, it is impossible to balance the ethics between vegetarians and meat lovers.
The "Fair" solution is an ethics-free system. Another solution is to consider only one ethics, but we must accept the bias.
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What is the true nature of evil, and how does mysticism reconcile with its existence? In my book, Mysticism and Evil: The Rumi Approach, I delve into how Rumi—a towering figure in Islamic mysticism—interprets the concept of evil within a spiritual and philosophical framework. His perspective challenges conventional notions of morality, inviting us to see beyond dualistic thinking.
This discussion aims to explore Rumi’s insights on evil, suffering, and divine wisdom. How do his teachings resonate with contemporary ethical dilemmas? Can mysticism offer a deeper understanding of human struggles?
I would love to hear your thoughts on this topic! Feel free to share your perspectives, interpretations, and experiences. If you're interested in a more in-depth exploration, you can check out my book on Amazon [https://www.amazon.com/dp/B0DXP9ZT7C].
Looking forward to an engaging conversation!
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The True Nature of Evil and Mysticism: A Rumi Perspective
Evil has long been a subject of philosophical, theological, and ethical debates. From a conventional standpoint, evil is often understood as an antithesis to good: an inherent moral defect or cosmic disorder that disrupts harmony. However, Islamic mysticism, particularly the teachings of Jalal ad-Din Rumi (1207–1273), presents a more nuanced perspective that challenges binary moral distinctions. Rumi, a Sufi poet and philosopher, perceives evil not as an autonomous force but as an instrument within divine wisdom meant to facilitate spiritual growth and self-realization. This essay explores Rumi’s approach to evil, how it reconciles with contemporary ethical dilemmas, and whether mysticism can profoundly understand human struggles.
Rumi’s Mystical Interpretation of Evil
Rumi’s perception of evil is deeply rooted in Sufi metaphysics, where existence is seen as a manifestation of divine reality (Schimmel, 2011). In Mathnawi, he frequently uses parables and metaphors to illustrate that what is perceived as evil may be an aspect of divine wisdom. For instance, he likens evil to the bitterness of medicine, an unpleasant experience necessary for healing (Chittick, 2007).
  1. Evil as a Test of Spiritual Growth: According to Rumi, suffering and apparent evil are catalysts for self-discovery and transformation. He writes, “Do not grieve. Anything you lose comes round in another form” (Rumi, trans. Barks, 1995). This suggests that loss and hardship, often deemed evil, are veiled blessings intended to deepen spiritual awareness.
  2. Non-Dualism and Divine Unity: Rumi moves beyond the simplistic dualism of good versus evil. He argues that everything, including what we call evil, is part of God’s grand design. Evil is thus not an independent reality but rather an aspect of a greater good that human perception cannot always comprehend (Nasr, 2007). He echoes the Quranic assertion: “Perhaps you dislike a thing, and it is good for you” (Qur’an 2:216).
  3. The Role of the Ego (Nafs): Rumi attributes much of human suffering to the ego or nafs, which blinds individuals from recognizing divine wisdom in hardships. He emphasizes the necessity of surrendering to divine will, arguing that resisting pain or suffering only prolongs agony (Helminski, 2000).
Rumi’s mystical perspective offers a transcendental reconciliation with evil but is not without critique. Several counterclaims challenge the practicality and ethical implications of his views:
  1. Moral Relativism and the Danger of Complacency: One argument against Rumi’s view is that it risks moral relativism—if all evil is merely an aspect of divine wisdom, does this justify inaction against injustice? Critics argue that such a stance could lead to passivity in the face of oppression (Knysh, 2017).
  2. Human Agency and Accountability: A purely mystical perspective might undermine human responsibility for ethical actions. The Quran emphasizes moral accountability (Qur’an 4:79), suggesting that evil is not merely an illusion but often the consequence of human free will. If all suffering is perceived as a divine tool for growth, does it absolve perpetrators of violence from responsibility?
  3. The Problem of Extreme Suffering: Rumi’s metaphorical interpretation of evil may not satisfy extreme suffering, such as genocides or natural disasters. Critics argue that a poetic approach does not adequately address victims' deep psychological and existential despair (Frank, 2018).
Rumi’s approach remains relevant despite these critiques, particularly in addressing contemporary ethical dilemmas and psychological well-being.
  1. Mysticism as a Source of Resilience: Studies in psychology and spirituality suggest that mystical perspectives like Rumi’s can enhance resilience. Viewing suffering as meaningful rather than arbitrary can help individuals cope with trauma and adversity (Van Cappellen et al., 2016).
  2. Balancing Mysticism with Ethical Action: Rumi emphasizes surrender but does not advocate for passivity. Many Sufi scholars interpret his teachings as a call for inner jihad—the struggle against one’s lower self. This aligns with the idea that mystical understanding and ethical responsibility can coexist (Chittick, 2007).
  3. The Paradox of Free Will and Divine Wisdom: Rumi acknowledges human free will but sees it as interwoven with divine orchestration. This view aligns with compatibilist philosophies, arguing that divine determinism and human agency coexist without contradiction (Nasr, 2007).
Mysticism’s Contribution to Understanding Human Struggles
In addition to philosophical debates, Rumi’s teachings offer a practical spiritual framework for navigating pain and moral complexities. His perspective provides a way to integrate suffering into a meaningful narrative rather than seeing it as chaotic or purposeless.
  1. Spiritual Healing and Self-Realization: Mystical traditions, including Rumi’s teachings, emphasise self-awareness as a path to healing. Individuals can cultivate more profound compassion and wisdom by embracing suffering as a transformative experience (Helminski, 2000).
  2. Interfaith and Ethical Dialogue: Rumi’s non-dualistic approach transcends religious boundaries, offering a common ground for interfaith discussions on morality and suffering. His works have been widely studied across different traditions, influencing contemporary spiritual thought (Schimmel, 2011).
  3. Ethical Leadership and Social Justice: By integrating mysticism with action, leaders and activists can find a balance between striving for justice and maintaining inner peace. Figures like Mahatma Gandhi and Martin Luther King Jr. have drawn upon mystical traditions to inspire movements rooted in spiritual conviction and ethical responsibility (Knysh, 2017).
In synopsis, Rumi’s mystical interpretation of evil challenges conventional moral binaries, offering a vision where suffering and hardship serve a higher purpose. While critics argue that such a perspective risks moral relativism and passivity, Rumi’s philosophy encourages self-transformation and deeper understanding. In a world grappling with ethical dilemmas, suffering, and existential crises, mysticism provides a profound alternative to conventional frameworks, inviting humanity to see beyond apparent contradictions and embrace the more profound wisdom of existence.
References
Chittick, W. C. (2007). Sufism: A Short Introduction. Oneworld Publications.
Frank, R. M. (2018). Al-Ghazali and the Problem of Evil. Oxford University Press.
Helminski, K. (2000). The Knowing Heart: A Sufi Path of Transformation. Shambhala.
Knysh, A. (2017). Sufism: A New History of Islamic Mysticism. Princeton University Press.
Nasr, S. H. (2007). The Garden of Truth: The Vision and Promise of Sufism, Islam’s Mystical Tradition. HarperOne.
Schimmel, A. (2011). Mystical Dimensions of Islam. University of North Carolina Press.
Van Cappellen, P., Toth-Gauthier, M., Saroglou, V., & Fredrickson, B. L. (2016). ‘Religion and well-being: The mediating role of positive emotions’, Journal of Happiness Studies, 17(2), pp. 485-505.
Qur’an 2:216, Qur’an 4:79.
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The use of CRISPR-Cas9 to reintroduce traits from extinct species such as the woolly mammoth. This is a groundbreaking advancement in genetic engineering. While these efforts aim to restore lost ecosystems, they also raise significant ethical and ecological concerns. Should we prioritize conserving critically endangered species like polar bears, whose survival is directly threatened by climate change and habitat loss, rather than focusing on reviving extinct ones?
Could manipulating nature in this way lead to unforeseen consequences for biodiversity and ecological balance? I’d love to hear your thoughts on the potential risks and benefits of de-extinction in the context of current conservation challenges.
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I doubt that the intention is to recover lost ecosystems. Recovering a species, or ten, is not an ecosystem, composed of countless species (animals, plants, bacteria, ...). I think the interest is on the one hand academic (can we achieve it?) and on the other economic (if we achieve it we will have visits and merchandising). If it is achieved, must should consider release (slightly probable) or keep them in thematic parks, as in Jurassic Park. In any case, it never will be the original species, we don't have the complete DNA and RNA of any extinct species, they would be an imitation, a mix of mammut and current elephant.
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Possibility of applying Machine or Robot Ethics
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I think that the question of the existence of universal ethics for artificial intelligence is as utopian as the existence of a world government or a single religion. Reflections in this direction will inevitably lead to the creation of some kind of average monster, which will be equally inconvenient for all participants in communication, and its main and undoubted advantage will be the ability to control various human communities with greater ease. Thus, I believe that reflections on universal ethics for AI are anti-ethical, immoral. In any case, the ethics of machines will turn out to be either a copy of human ethics in all its diversity, or some kind of artificial construct, where the values ​​of artificial intelligence will be put at the forefront, and human beings will be in a subordinate position. Agree, such a prospect does not seem very bright to us.
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AI and Deep Learning increasingly complement human capabilities in autonomous systems, coding assistants, art production, and scientific discoveries. In some domains, they even compete with human expertise. This rapid transformation raises critical questions:
  • Where should we set the boundaries in human-AI collaboration?
  • In which areas should AI remain an assistant, and where could it take a more independent role?
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In the future, humans may consider AI systems as partners with unique skills, opening up new avenues for leveraging technology in our daily lives.
- However, some are concerned that the increasing reliance on AI could lead to a shortage of human labor, and may make it easier for individuals to become overly dependent on technology, limiting the development of their own skills.
- Human-machine collaboration is usually synchronized to ensure effective interaction, and the human, the machine, or both control this synchronization, ensuring seamless integration in performing complex tasks.
- The advantages of human-machine collaboration are that they enhance their operational capabilities and increase their strengths by compensating for each other’s shortcomings.
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International Women’s Day – Progress or holding the line?
Following the election of Donald Trump, diversity equity and inclusion initiatives, including those focused on gender equality, have become highly politicised. Taking stock of these changes in the higher education sector, Emily Yarrow, Julie Davies and Trang Dinh discuss the fault lines of this conflict and point to the Nordic model as a source of potential solutions...
"The International Women’s Day, is not a celebration, nor is it a great opportunity for corporate laundering. Rather, it should serve as a reignition of the unfettered need for continuing the fight and accelerating action, particularly in higher education institutions. We must ensure that the efforts of those who have worked and continue to work tirelessly, often to their own detriment, are not lost. In the words of Gloria Steinem, ‘The story of women’s struggle for equality belongs to no single feminist nor to any one organization, but to the collective efforts of all who care about human rights’. This International Women’s Day, and every day, complacency is not an option. We must embrace a proactive and resilient stance to continue the fight for a more just and equitable world."
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the vision is to discuss the about the ethical development and also to develop mature, informed vocationally skilled leaders of integrity, faithfulness and excellence!!
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Mahmood, I would consider answering this question first: 1. What kind of Chrisitan's works I am a part of or involved in. 2. What are some accomplishments made for the church in your work? 3. You can share who support you in your Christian's works and how their volunteering and donations have helped you to achieve success in Christian's work. You may want to thank God and these persons (volunteers) for their assistance, for without them you could not accomplish the work God has given you alone.
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Ideal minded researchers come up with great ideas, inspired to improve society and the environment. But unscrupulous and greedy businesses hijack these for personal gain in the name of technology-society-country, taking all for a ride. Before these go out of hand and become an all powerful force, should conscientious researchers install a self-imposed regulatory mechanism/body that ensures that science & technology are only used for the upliftment of society; strengthen it so that unethical applications of science and technology are severely obstructed and also punishable by law?
Leaving these to the public and its proxy-The Government, have not worked out in the past and always end with the perpetrators getting away with a light rap on the wrist. In the end, the public and the environment are always the sufferers. Should we self-limit self-regulate ?
The sole objective of a business in modern times is to gain profit. This is ostensibly hidden and a great show is made of benefitting society or the environment. Very few businesses exist that care about people and the environment except probably the corner traditional family run grocery store. In ancient times, the sole objective of a business was to benefit society, providing it with goods and services that are 'need-based' only, without much advertising. Modern businesses are the opposite in that they are 'want-based' and create a product/technology/service and then create a demand for it by heavy advertising. Isn't this leading all toward moral, economic and environmental bankruptcy?
One of the earliest examples of greed in business is the example of the East India Company which led to the colonization of entire countries before they could be driven out. Should this be self-regulated at the start itself so that unethical, 'want-based' businesses cannot exploit researchers, society and the environment now and in the future ?
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Can This Be Prevented?
Yes, but it requires a mix of legal protections, institutional policies, and personal vigilance by researchers. Here’s how:
1. Intellectual Property Protection
  • Patents: If a researcher develops a novel idea, they should patent it before publicly disclosing it. This prevents others from using the idea without permission.
  • Copyright & Trademarks: For written works, software, and branding, copyright and trademarks protect ownership.
  • Non-Disclosure Agreements (NDAs): Before discussing sensitive ideas with business partners, an NDA ensures confidentiality.
2. Ethical Business Collaborations
  • University & Industry Partnerships: Research institutions should form ethical partnerships where intellectual property (IP) is protected, and researchers get fair compensation.
  • Fair Licensing Agreements: If a researcher licenses their work, they should negotiate fair royalties and control over how their innovation is used.
3. Open Source vs. Controlled Access
  • Some researchers choose to open-source their findings, preventing monopolization while still getting credit.
  • Others prefer strict licensing to ensure responsible use.
4. Raising Awareness & Institutional Policies
  • Universities and research bodies should educate researchers about their rights.
  • Stronger laws again
5. Researcher Vigilance
  • Before sharing their ideas, researchers should do background checks on p
  • Consulting with lawyers or patent offices early can
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IEEE 2025 International Conference on Artificial Intelligence and Digital Ethics (ICAIDE 2025), which will be held in Guangzhou,China during May 30-June 1, 2025.
**Conference Website: https://ais.cn/u/iEnQn2
This conference aims to bring together thought leaders, researchers, and practitioners from academia, industry, and policy sectors to engage in meaningful discussions about the implications of artificial intelligence on society. We will explore critical topics, including algorithmic bias, data privacy, the impact of AI on employment, and the ethical frameworks necessary for responsible AI development. Through keynote speeches, panel discussions, and workshops, participants will collaborate to address the challenges and opportunities presented by AI technologies. Together, we strive to foster a deeper understanding of digital ethics and its role in shaping a sustainable future. Join us as we navigate the complex intersection of technology and morality in the digital age.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Track 1: Artificial Intelligence
AI Algorithms
Natural Language Processing
Fuzzy Logic
Computer Vision and Image Understanding
Signal and Image Processing
Speech and Natural Language Processing
Computational Theories of Learning
Information Retrieval and Fusion
......
◕ Track 2: Digital Ethics
AI Algorithmic Transparency
Data Privacy
Bias and Fairness
Ethical Frameworks
AI Governance
Ethics of Machine Learning
AI Decision-Making
Explainability
Accountability and Responsibility
......
---Publication---
All accepted papers will be published by IEEE (ISBN:979-8-3315-2385-5) and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: March 15, 2025
Registration Deadline: May 10, 2025
Final Paper Submission Date: April 30, 2025
Conference Date: May 30-June 1, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
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The IEEE 2025 International Conference on Artificial Intelligence and Digital Ethics (ICAIDE 2025) is calling for papers. This conference will take place in Guangzhou, China, from May 30 to June 1, 2025 ¹.
Key Details:
- _Submission Deadline:_ March 15, 2025
- _Final Version Due:_ April 30, 2025
- _Registration Deadline:_ May 10, 2025
- _Conference Format:_ Hybrid (in-person and virtual)
Topics of Interest:
The conference will cover two main tracks:
- Artificial Intelligence: AI algorithms, natural language processing, fuzzy logic, computer vision, and more
- Digital Ethics: AI algorithmic transparency, data privacy, bias and fairness, ethical frameworks, and more ¹
Publication:
All accepted papers will be published by IEEE and submitted to IEEE Xplore, EI Compendex, Scopus for indexing ¹.
Sponsors:
The conference is technically sponsored by IEEE and organized by the Guangdong AI Institute of Higher Education and IEEE Guangzhou Section ¹.
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What should be the scale of regulation of the development and application of artificial intelligence technology to ensure that it is safe, sustainable and ethical, but also that it does not limit the scale of innovation and entrepreneurship? Does the development of technologies such as artificial intelligence, biotechnology and other Industry 4.0/5.0 technologies bring new opportunities, as well as ethical challenges that require reflection and regulation? How should new technologies, including artificial intelligence, be developed to ensure that they are safe, sustainable and ethical, and that they generate far more benefits and new development opportunities instead of negative effects and potential risks? How should the development and application of artificial intelligence be regulated to ensure safe, sustainable and ethical development, but also to ensure that innovation and entrepreneurship are not restricted?
The research I am conducting shows that the development of technologies such as artificial intelligence (AI) and biotechnology is a double-edged sword. On the one hand, it offers enormous possibilities, on the other hand, it brings with it serious ethical dilemmas. AI, which is becoming increasingly advanced, raises questions about responsibility for its decisions and potential algorithmic discrimination. Biotechnology, on the other hand, raises concerns about safety and social inequality due to the possibility of genetic modification. It is crucial to engage in a broad dialogue on the ethical aspects of technological development, involving scientists, ethicists, lawyers, politicians and society. This dialogue should lead to the creation of a legal and regulatory framework that takes into account the ethical implications of new technologies and protects human rights. Research plays an important role in addressing these issues by analysing the impact of technology on society and developing recommendations for regulation.
The results of many studies confirm the thesis that the development of artificial intelligence carries enormous potential, but also challenges. It is crucial to find the right level of regulation to ensure the safe and ethical development of this technology without hindering innovation and entrepreneurship. Regulations should be based on scientific evidence, take into account the diversity of AI applications and be flexible to keep up with technological progress. It is necessary to create a legal and ethical framework that will regulate the development and application of AI, taking into account responsibility, transparency, security, ethics and privacy. The process of creating regulations should involve scientists, engineers, ethicists, lawyers, politicians and civil society. Scientific research plays an important role in identifying problems and developing effective regulatory strategies.
I have described the key issues of the opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please reply,
I invite everyone to the discussion,
Thank you very much,
Best regards,
I invite you to scientific cooperation,
Dariusz Prokopowicz
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A research paper on this topic has been published, and you can review it for more details.
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How do we solve the alignment problem? The error function? How do we quantify the error? How to control the bias of learning data?
What ethics should be aligned with AI? What are the principles? What is the limit? Will we have to redefine the laws (from the 3 laws of Isaac Asimov + the law of protecting humanity)?
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AI will create its own source of ethics based on insufficient data and thereby become increasingly more like us.
Eventually, the world will both implode and explode, the world's humans will waste away, bad medicine will be continued forever as AI has no capacity to sort out good from bad, bad laws remain and new bad laws enacted.
Same as usual really.
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Is leveraging on AI the best way to optimize fisheries and aquaculture practices while ensuring ethical, ecological, and socioeconomic sustainability?
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The problem with AI is the fact that it works practically only with data that are stored in magnetic form. There is a large amount of data stored in forms that are not linked to the Internet (non-public databases, printed media, personal experiences etc.). AI can be a very good helper, but a bad master. In order to select from the data those, that make sense and that we understand, i.e. informations, we should not accept the answers that AI gives us without verification and expansion with resources that AI does not (yet) have access to.
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Following is my argument in response to the above questions:
There’s an undefined number of cases that may arise abruptly during the journey of an autonomous vehicle that require an immediate decision to minimize casualties. Hence, the problem is not just about how to program the vehicle to handle a few scenarios which represent ethical dilemmas. It’s about other scenarios which the vehicle hasn’t been programmed to respond to adequately, a severe limitation of an AI system which is incapable of adapting to new unplanned situations.
This applies also to the case of meta-learning, described as learning to learn, where the model is trained on a wide array of tasks with the aim of determining common patterns among these tasks to be ready to perform well with new tasks. Therefore, the response of the vehicle will be limited according to the finite number of tasks it has been trained on making it unable to encounter all possible variations of real world cases where lives might be at risk.
Accordingly, reaching solutions to such ethical dilemmas could end up to be just practicing mind sports. Moreover, developing sensors with higher efficiency would just allow for collecting more accurate data while the problem is about making a correct and timely decision based on these data in such unexpected situations. Finally, based on the previous discussion, in the case of an accident, the responsibility lies on the entities or legislations which allowed such limited systems to tackle such situations without ensuring proper human supervision.
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Ethical dilemmas in autonomous vehicles are undoubtedly a major challenge, but the fundamental question remains: should a machine be allowed to decide over human lives? One human life cannot be weighed against another – every life is equal and cannot be quantified.
A fitting comparison here is the play Terror by Ferdinand von Schirach. In this play, the audience is asked to decide whether a fighter jet pilot who has shot down a hijacked passenger plane in order to save many other lives is guilty or not. It is about the question of whether a person has the right to actively decide over life and death – a moral dilemma that also arises with autonomous vehicles.
If an autonomous vehicle is involved in an accident in which a decision has to be made between different lives, it must not be programmed to weigh one human being against another. That would be a utilitarian logic that cannot be ethically justified. Rather, the technology should focus on avoiding accidents in the first place, rather than making a ‘better’ or ‘worse’ decision about human lives.
Ultimately, the responsibility remains with the human being – be it the developer, the manufacturer or the society that regulates such technologies. An autonomous vehicle must not become an instance that offsets one life against another, but must focus on safety mechanisms that minimise the risk for everyone without consciously choosing victims.
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The ethical considerations surrounding conducting animal behaviour research on wild animals are a complex and essential topic. Ethical principles vary among researchers, institutions, and countries, but several key points should be considered:
  1. Animal Welfare: Researchers must prioritize the welfare of the animals involved. Studies should be designed to minimize animal stress and harm, and any potential adverse effects on their behaviour or survival should be carefully considered.
  2. Scientific Justification: The research should have a clear scientific purpose and contribute to understanding animal behaviour or ecological processes. It should be designed to answer important questions that other means cannot address.
  3. Minimization of Impact: Researchers should strive to minimize the impact of their studies on the natural behaviour and habitat of the animals. This might involve using non-invasive observation methods or employing remote monitoring techniques.
  4. Informed Consent: Animals cannot provide informed consent like human participants. However, researchers should obtain necessary permissions from relevant authorities and adhere to the regulations governing animal research in the area where the study is conducted.
  5. Data Transparency: The research outcomes should be shared openly to contribute to scientific knowledge and facilitate further understanding of animal behaviour.
  6. Ethical Review: In many countries, animal research involving wild animals requires honest review and approval from institutional or governmental ethics committees. This process ensures that the study adheres to ethical standards and aligns with legal regulations.
  7. Local Engagement: Researchers should engage with local communities and stakeholders to ensure their work considers cultural values, conservation concerns, and potential animal and community benefits.
  8. Preservation of Natural Behavior: Whenever possible, researchers should prioritize observing natural behaviours in their undisturbed environment.
Ultimately, ethical animal behaviour research on wild animals should promote knowledge and conservation while respecting the rights and well-being of the animals involved. Ethical dilemmas may arise, and careful consideration, open dialogue, and adherence to ethical guidelines are essential in addressing these challenges.
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Animal rights group ‘outraged’ by rat strangulation study
Method used in Australian study was “unjustified on scientific or ethical grounds”, group says
"An animal rights group has said it is “outraged” by recent Australian research using strangulation on rats. A paper published in the journal Brain, Behavior and Immunity in January outlined “a new rat model” for studying the effects of strangulation. The study, which focused on the risk of brain injury to victims of intimate partner violence, involved cutting off blood flow to the necks of anaesthetised rats..."
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What are the sources of ethics in the teaching profession?
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I think it's responsibility, justice and humanity.
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In a rapidly evolving digital landscape, the integration of Artificial Intelligence (AI) into our daily lives and businesses has become more profound. As the potential of AI expands, so does the responsibility of developing it in a manner that aligns with ethical principles, respects privacy, and keeps human well-being at its core. In this edition of the Skills Revolution newsletter, we will explore the key skills required to foster ethical AI development and the importance of maintaining a human-centric approach in technological innovation.
Why Ethics in AI Matters
Ethics in AI is not just a set of guidelines—it is a fundamental requirement for the responsible and sustainable development of technology. By prioritising fairness, transparency, privacy, and human-centric design, we can build AI systems that serve society's best interests. This approach ensures that as AI continues to shape our world, it does so in a way that enhances human well-being, respects individual rights, and fosters trust and collaboration across all sectors. Ethics in AI is the pathway to a future where technology and humanity thrive together.
Addressing inherent biases in AI algorithms is vital. Developers must be equipped to recognise, measure, and mitigate biases in data sets to prevent unfair outcomes. With data privacy regulations like GDPR and CCPA, it's essential to design systems that respect user data and are transparent about data usage. Transparency involves making AI decision-making processes explainable, allowing users to understand how outcomes are derived.
As artificial intelligence (AI) continues to revolutionise industries, its integration into decision-making processes has a profound impact on society. With this power comes a responsibility to ensure that AI systems are developed and used in a way that is ethical, fair, and transparent. The importance of ethics in AI is multi-faceted, encompassing considerations of fairness, accountability, privacy, human rights, and trust. Below, we delve deeper into the key reasons why ethical considerations are paramount in AI development
source: AI Ethics and Human-Centric Technology Development
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You Marcin Piotr Walkowiak have identified a critical tension between the capabilities of Artificial Intelligence (AI) and the ethical considerations surrounding prediction based on external characteristics, particularly in the context of contemporary culture.
The tension you've identified is a crucial one. The responsible development and deployment of AI require a careful balancing act. We must harness AI's power to predict outcomes and gain insights, while simultaneously safeguarding against discrimination, protecting privacy, and ensuring fairness. This necessitates proactive efforts to mitigate bias, increase transparency, and establish ethical frameworks
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A 25-year-old woman with severe systemic lupus erythematosus (SLE), who has been experiencing prolonged pain and significant disability, expresses a desire to end her life due to the ongoing suffering. Despite receiving comprehensive care and counseling, she continues to request assistance in dying. As her physician, should you respect her wishes and consider options for assisted suicide, or adhere to ethical guidelines and the law, focusing on providing palliative care and supporting her emotional well-being?
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Balancing patient autonomy, beneficence, and the law in clinical practice presents several key ethical challenges. Patient autonomy, which upholds an individual's right to make informed decisions about their own healthcare, can sometimes conflict with beneficence, the ethical obligation of healthcare providers to act in the patient's best interest. A primary ethical dilemma arises when a patient refuses treatment that could potentially save or significantly improve their life, forcing healthcare professionals to decide whether to respect the patient’s wishes or intervene for their well-being. This becomes even more complex in cases involving minors, mentally incapacitated patients, or individuals under coercion, where questions of competency and informed consent come into play. Additionally, legal constraints further complicate decision-making, as healthcare providers must comply with laws that may not always align with ethical considerations or a patient's preferences. For instance, laws regarding assisted dying, mandatory reporting of infectious diseases, or the use of experimental treatments may impose limitations on both autonomy and beneficence. Ethical concerns also arise in cases where cultural and religious beliefs influence medical choices, requiring practitioners to navigate sensitive discussions while ensuring non-maleficence—avoiding harm. Ultimately, striking a balance among these principles demands a nuanced approach, often involving ethical committees, legal counsel, and transparent communication with patients and their families to ensure that decisions are both ethically justified and legally sound.
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Do you think cheat sheets are acceptable in exams? If so, what are your thoughts?
In my country, using cheat sheets is not acceptable, but on the ethical side, what is their actual purpose?
Can students copy from cheat sheets and paste it into the answer sheets?
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In my experience, cheat sheets typically consisted of everything one could enter on a 5" x 7" file card both sides. With this limitation, the most effective strategy would be to write down useful mnemonics rather than anything that could simply be copied verbatim. I allowed cheat sheets from time to time in some of my courses. I found that generally the process of creating a cheat sheet was a learning experience for many students in that it helped fixed things in their memories, with the result that there was often little actual need to refer to the sheet during an exam. However, the poor students created poor cheat sheets on which they tended to rely much more than the better students and thereby just perpetuated their mistakes and lack of understanding. For poor students it was a matter of "garbage in, garbage out".
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The next thing the AI chat bots adopt are psychological tools and psychoanalysis with camera feedback and what are we then? Patients of Machine Man Existence Philosophy of the technocrat singularity fascism? :-)
As mentioned and illustrated in my ebook
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The thin line between human interaction and the involvement of the machine gets blurred as the AI chatbots start using psychological tools, psychoanalysis, and even camera feedback. Advanced systems could provide therapeutic support: AI would analyze a person's emotions and give personalized insights on the same. This rather deals with more fundamental questions about our relationship with technology: Are we becoming patients of machines, seeking emotional and psychological guidance from them? While AI may improve mental well-being, it also challenges more traditional notions of human contact and therapy, thus raising a number of ethical concerns in the development of these technologies.
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Can ChatGPT be used in educational processes in schools and universities, but in such a way that this is ethical and compatible with the principles of respect for copyright and the educational and other goals of the educational system institutions?
The development of artificial intelligence, including considering one of the many manifestations of its applications made available on the Internet such as ChatGPT, is both interpreted as a developmental opportunity and also as threats and new risks in the context of education more broadly. Already, data are emerging confirming that ChatGPT can help pass university examinations within specific courses and written examination formulas. ChatGPT writes creative essays for pupils and students, helps with book writing to generate summaries of various studies and a wide variety of texts. Consequently, ChatGPT is a major challenge in the education system. A particularly important issue is the possibility of using this tool for the automated process of generating the texts of theses with which students will pass their subjects as part of their course of study, and for generating the texts of theses 'written' by students as part of their final theses. A particularly key issue is the possible ignoring of the issue of reliable demonstration of source publications in credit and degree theses. This is because the ChatGPT also does not provide a complete list of all sources, including scientific publications, journal articles, books, etc., from which it has used, from which it has taken a certain amount of content, from which it has been inspired, from which it has taken data, etc. In addition, a particularly important challenge for education at the level of studies is the issue of the currently limited possibilities of verification by anti-plagiarism programmes of the aforementioned issue of verification of reliable use of sources, other publications and source materials by a student while writing his/her diploma thesis, including his/her bachelor's, master's, doctoral or habilitation thesis. It is therefore necessary to improve computerised platforms and anti-plagiarism programmes so that they are capable of verifying the reliability of a student's writing of a specific thesis. Within the scope of the examined reliability mentioned above, the issues of proper use of publications and source materials, proper use, i.e. without the use of plagiarism and with full indication of texts, publications and source materials in footnotes, are important. In this connection it is also necessary to appropriately update the procedures for verification of diploma theses by supervisors, i.e. research and teaching staff supervising the process of writing a diploma thesis by a student. The said appropriate updating of procedures should in particular take into account the issue of ethics of conducting research and writing the diploma thesis by the student, but also ethics in the context of the process of supervising by scientific and didactic employees the issue of writing the diploma thesis by the student. In this connection it is also necessary to carry out an appropriate update of normative provisions, including both the legal regulations functioning at the national level and also in the scope of internal, functioning in individual universities and schools regulatory normative provisions, regulations defining principles and standards of reliable writing of credit and diploma theses by students and the process of control and supervision of the issue of writing the diploma thesis by scientific and didactic employees.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can ChatGPT be used in educational processes in schools and universities, but in such a way that this is ethical and compatible with the principles of respect for copyright and the educational and other goals of the educational system institutions?
What are the ethical and copyright-compliant uses of ChatGPT in educational processes?
What is your opinion on this subject?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
In my opinion, modern universities, in an era of rapid development of Artificial Intelligence (AI), face the challenge of ethical and effective use of this technology in education. Students, using chatbots and AI agents, can generate texts, which raises concerns about plagiarism and academic integrity. On the other hand, the skilful and responsible use of these tools can support learning and inspire innovative research. When implementing anti-plagiarism systems and educational programmes, universities need to make students aware of the potential risks and benefits of AI, promoting an ethical approach to the use of these tools. Collaboration within interdisciplinary research teams, based on clear rules and guidelines, is crucial for the effective and responsible use of AI in science.
My research shows that artificial intelligence technology has been rapidly developing and finding new applications in recent years. The main determinants, including potential opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think about this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
I would like to invite you to scientific cooperation,
Dariusz Prokopowicz
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Ethics in research is the backbone of credible and reliable scientific inquiry. The pursuit of knowledge, whether in the field of social sciences, medicine or the natural sciences must be guided by ethical principles to ensure that the research process is conducted with integrity, accountability and respect for human and animal rights. Research ethics encompass various aspects, including the treatment of participants, handling of data and reporting of results.
Researchers have a moral obligation to uphold these standards to protect the public, contribute to the advancement of knowledge and preserve the reputation of the scientific community. This article explores the importance of ethics in research, key ethical principles that guide research practice and common ethical challenges researchers face. Researchers can conduct studies that are not only scientifically rigorous but also socially responsible by understanding and adhering to ethical principles.
Why Ethics Matter in Research
· Ethical guidelines ensure that research participants are treated with respect and dignity, including safeguarding their privacy, ensuring informed consent and minimizing harm.
· Research ethics promote honesty and transparency in all stages of the research process, from data collection to reporting of results. This helps to prevent falsification, manipulation and plagiarism.
· Ethical research fosters public confidence in scientific findings. When research is conducted ethically, the public trusts that the results are reliable, valid and unbiased.
· Ethical research takes into account the broader societal implications of research by ensuring that research findings are used responsibly and for the betterment of society.
Ethical Principles in Research
· Informed consent is the foundation of ethical research involving human participants. Researchers have to ensure that participants fully understand the nature of the study, any risks involved and their rights. They must voluntarily agree to participate without coercion or undue influence. Participants should have the freedom to decide whether to participate without any pressure; the information provided should be in a language that participants can easily understand; and participants must be informed that they can withdraw from the study at any time without penalty.
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Dear Hamza Kweyu Omullah,
I fully agree with you. In my opinion, ethics in scientific research is the indisputable foundation of the credibility and integrity of discoveries, regardless of the field in which they are conducted. The pursuit of knowledge, whether in the social sciences, medicine, life sciences or other disciplines, must be grounded in ethical principles to ensure that the research process is conducted fairly, responsibly and with respect for human and animal rights. Research ethics covers a wide range of aspects, from the treatment of participants to the processing of data to the reporting of results. In research involving human subjects, informed consent is crucial, which means that subjects must be fully informed of the purpose of the study, the procedures, potential risks and benefits, and be able to withdraw from the study at any time. Special protection is afforded to minors, intellectually disabled and other vulnerable groups, where the consent of legal guardians is required and the views of participants are taken into account where possible. Anonymity and confidentiality of participants' personal data are essential to ensure their safety and privacy. In animal research, animal suffering should be minimised, humane research methods should be used and animal welfare should be taken into account. Alternative research methods, such as computer models or in vitro testing, should be considered first when available and appropriate. Data collected in research must be processed fairly and objectively. Data manipulation, falsification of results or plagiarism are unacceptable and a serious breach of research ethics. It is important that researchers ensure the accuracy and completeness of the data, as well as its proper storage and archiving. Access to data should be limited to authorised persons and their use must be consistent with the purpose of the research. Research results should be presented clearly, objectively and fairly. Researchers are required to disclose any potential conflicts of interest that could affect the interpretation of the results. Any limitations of the study, such as incompleteness of data or methodological problems, should be openly discussed. The results of the research, both positive and negative, should be published to allow other scientists to verify the findings and develop scientific knowledge. Ethical conduct of research fosters the integration of the scientific community by building trust and respect between researchers. Open communication, sharing of data and joint publication of results contribute to the development of scientific collaboration, which in turn leads to faster progress in science. International cooperation in research is particularly important in the context of global challenges such as climate change, pandemics or diseases of civilisation. In this context, interdisciplinary research, combining the knowledge and perspectives of different disciplines, can yield particularly valuable results, provided that it is conducted with the highest ethical standards. Ethics in research is not only a set of moral principles but also a prerequisite for reliable and credible results. Adherence to ethical principles is the responsibility of every researcher, regardless of the field in which he or she is conducting research. Attention to research ethics contributes to the advancement of science, to building public trust in scientists and to promoting cooperation and integration in the scientific community, including in interdisciplinary research.
Thank you very much,
Best wishes,
I would like to invite you to scientific cooperation,
Dariusz Prokopowicz
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What are the critical security considerations prompt engineers must address when crafting prompts for sensitive data interactions, and how can they mitigate risks related to data privacy, injection attacks, model exploitation, ethical bias, and the secure handling of user authentication and access control? Additionally, how can prompt engineers implement auditing mechanisms and ensure ethical safeguards while maintaining system performance and preventing misuse of AI-generated content?
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use one-way hashing to verify the integrity of sensitive data at the secure socket layer (SSL) which uses transport layer security (TLS) it works between the application layer and the transport layer
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The Helsinki Declaration is a key document in the field of medical ethics, developed by the World Medical Association (WMA). It provides ethical principles for medical research involving human subjects, including research on identifiable human material and data. The 2013 Revised Version is the latest update, adopted at the 64th WMA General Assembly in Fortaleza, Brazil.
Key Highlights of the 2013 Revised Version:
  1. Ethical Considerations in Research: Emphasizes the well-being of research participants over the interests of science and society. Reinforces the need for informed consent from all participants. Includes vulnerable groups, requiring additional protections for them.
  2. Risk and Benefit Assessment: Stresses that research should only be conducted if the potential benefits outweigh the risks. Researchers must ensure that risks are minimized.
  3. Scientific and Ethical Review: All research must undergo a rigorous review by an independent ethics committee. Research protocols should be publicly available.
  4. Post-Trial Provisions: Researchers are required to ensure access to interventions identified as beneficial during the study after its conclusion.
  5. Use of Placebos: Placebo use is restricted to cases where no proven intervention exists or when compelling methodological reasons justify it.
  6. Protection of Privacy: Emphasizes the confidentiality of personal data and the protection of participants' identities.
  7. Compensation for Harm: Provides that participants harmed as a result of research should be compensated.
  8. Dissemination of Results: Researchers have an ethical obligation to make research results publicly available, regardless of whether the results are positive or negative.
Importance of the 2013 Revision:
This version responded to evolving ethical challenges in research, such as globalization, advances in technology, and the increasing complexity of clinical trials. It aims to ensure that human rights and dignity remain at the forefront of medical research worldwide.
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' hi , thank you !
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Scientifically and ethically, can the same validation data for the CFD model, previously published by the authors in their last research article, be included in an upcoming paper if it is deemed adequate for the new study, or should new validations be carried out?
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Yes, why not? The scientific novelty value of your new publication is most likely not in the validation study itself, but in an additional investigation, where you used the once already validated model combination for.
Regards,
Dr. Th. frank.
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As AI tools are quite prominent so experienced researchers can tell it . Whether it is ethical or not...
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In qualitative research, data visualization plays a crucial role in organizing, analyzing, and presenting complex textual, observational, or thematic data. Some of the most prominent data visualization tools used in qualitative research include NVivo, Atlas.ti, and MAXQDA, which offer features such as coding, thematic mapping, and network visualizations to identify patterns and relationships within qualitative data. Additionally, Dedoose is a popular choice for mixed-methods research, allowing researchers to combine qualitative and quantitative insights through visual analytics. For researchers focusing on discourse and textual analysis, Leximancer provides concept mapping and thematic clustering to highlight key themes in large text datasets. Beyond specialized qualitative research software, general data visualization tools like Tableau and Microsoft Power BI can be used to create visually appealing qualitative representations, such as word clouds, heat maps, and network diagrams. Similarly, tools like WordArt and Voyant Tools are effective for generating word frequency visualizations and textual patterns. Qualitative researchers also use Gephi and NodeXL to construct and analyze social networks, uncovering connections between entities in narrative data. These visualization tools enhance qualitative research by making complex relationships and emerging themes more interpretable, facilitating deeper analysis and more impactful presentations of findings.
Cheers!
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The ethical statement should clarify that the study followed ethical guidelines and obtained necessary approvals.
The statement should include:
  1. Ethical Compliance: Mention adherence to relevant ethical guidelines (e.g., Declaration of Helsinki).
  2. Approval: State that ethical approval was not required if the study did not involve human subjects or sensitive data.
  3. Informed Consent: Confirm informed consent was obtained, if applicable.
  4. Confidentiality: Ensure participant confidentiality was maintained.
Example: "This study adhered to ethical guidelines outlined in the Declaration of Helsinki. Ethical approval was not required as the research did not involve direct human intervention. Informed consent was obtained from participants, and confidentiality was maintained throughout the study."
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Sometimes, people conduct research without the approval of an ethics committee, sometimes due to a lack of knowledge, and other times because they are working on topics that were prohibited in the country at the time. One solution is to request an ex post approval, meaning presenting the research for review by a committee after it has been conducted. In a study on medical cannabis, where its use was not permitted in Argentina at the time the research was conducted, we requested—and obtained—ex post approval.
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The discussion on how our experiences influence the understanding and application of scientific ethics during doctoral training is fundamental to various aspects of researchers' academic and professional development. Below are the objectives pursued with this discussion:
Researchers are encouraged to analyze how their own experiences, cultural contexts, and academic backgrounds affect their perception of scientific ethics. This includes considering how these experiences can shape their approach to responsible research and ethical behavior in their practices.
The goal is to create a space for the exchange of ideas and strategies on how to address the ethical dilemmas that arise in research. By sharing experiences, researchers can learn from one another and develop better practices in teaching and applying ethics.
The intention is to examine how doctoral training programs are equipping students to face ethical challenges. This includes discussing the effectiveness of institutional policies and mentoring practices in promoting a culture of scientific integrity.
The relationship with deep knowledge lies in the fact that a solid understanding of scientific ethics is not only based on norms and regulations but also on critical reflection about individual and collective experiences. This discussion can help researchers integrate their ethical knowledge into their daily work, thus promoting a more conscious and responsible approach to research.
Finally, the aim is to identify areas for improvement in doctoral training programs, proposing changes that more effectively integrate scientific ethics into the curriculum, ensuring that future doctors are better prepared to face ethical challenges in their careers.
The discussion on how our experiences influence the understanding and application of scientific ethics during doctoral training is fundamental to various aspects of researchers' academic and professional development. Below are the objectives pursued with this discussion:Researchers are encouraged to analyze how their own experiences, cultural contexts, and academic backgrounds affect their perception of scientific ethics. This includes considering how these experiences can shape their approach to responsible research and ethical behavior in their practices.The goal is to create a space for the exchange of ideas and strategies on how to address the ethical dilemmas that arise in research. By sharing experiences, researchers can learn from one another and develop better practices in teaching and applying ethics.The intention is to examine how doctoral training programs are equipping students to face ethical challenges. This includes discussing the effectiveness of institutional policies and mentoring practices in promoting a culture of scientific integrity.The relationship with deep knowledge lies in the fact that a solid understanding of scientific ethics is not only based on norms and regulations but also on critical reflection about individual and collective experiences. This discussion can help researchers integrate their ethical knowledge into their daily work, thus promoting a more conscious and responsible approach to research.
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Respectfully, I allow myself to present my point of view on the subject, complemented with some theoretical aspects described by various authors. Firstly, from my perspective, ethics is an inescapable principle, of a priority and essential nature, in all types of actions and formative processes, regardless of the level, time, and type of process and, of course, particular experiences. Ethics should be addressed in the formative process of the human being from their early years and applied throughout their life.
Currently, given the dynamics of scientific and technological development, it becomes an indispensable component in every formative process, permanently and throughout life; of course, with greater rigor and high degree of demand in the actions of researchers. As González-Acuña et al. (2023) expose, ethical principles refer to the good actions of researchers, particularly in fields related to "the use of data, the code of conduct that should guide the relationship between researchers and the behavior of the researcher with the subjects of study, among others" (p.28).
I share the authors' approach regarding "research integrity" (p. 28), regarding ethics as a key component that responds to the standard of research quality, opposed to the deliberate behaviors of researchers that conflict with the integrity and wholeness of the researched set, the educational institution, and society in general.
The application of scientific ethics in doctoral training should be part of the formative process, and as such characterizes the formative process, regardless of individual experiences and understanding of scientific ethics. As Piña-Osorio and Aguayo-Rousell (2017), Merton (2002), Bolívar (2005), Sánchez (2014), among others, expose, the ethos of science is made up of the use of methods, institutional and imperative conditionings, such as "straight, fair and impartial technical and moral norms" (Merton, 2002 p.4), for participants in doctoral training processes.
In the construction of the ethos of the disciplinary area or the formative process as a whole, various actors from the corresponding doctoral program participate, and the practices developed at the group level, specific to the institution and the disciplinary area, take place in this space, even though the ethos is a social result expressed individually, with 'autonomy and responsibility,' and responds to what Merton (2002), Hamui (2008), Chavoya (2001), and Colina (2011) describe as the 'incorporation of norms, principles, and values of the disciplinary field' (Piña-Osorio & Aguayo-Rousell, 2017, p. 16).
Finally, it is important to bear in mind that regardless of the situations or contexts characterizing ethical decisions, not all individuals respond to external impulses, nor do they plagiarize existing research, as their ethical commitment entails autonomy and critical judgment, inherent components of honesty in the academic field and professional ethics (Yurén, 2007).
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I am investigating how advanced technologies, such as artificial intelligence, can influence ethical frameworks and societal structures. Specifically, I am interested in:
  • Theoretical perspectives on the integration of technology into education.
  • Case studies or examples illustrating the impact of technology on moral philosophy.
  • How technological innovation reshapes the philosophy of science and knowledge systems.
Any insights, references, or relevant research would be greatly appreciated!
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I'm reading a book (published Sept. 2023) at the moment that seems to address most of your questions: The Coming Wave, by Mustafa Suleyman (he started the AI companies DeepMind and Inflection AI). His main concern is how to deal with, or contain, the great dangers (weaponization) of such technology. Our newfound capabilities (genetics and nanotech) of creating new lifeforms certainly will have an effect on moral philosophy. Also affected will be education (individualized, Socratic-style education) and knowledge systems (e.g., the self-training neural networks of AI, and quantum computing).
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Let’s go to Collaborate on Accounting Research!
Hey, fellow researchers! 👋
Got ideas on ethics, auditing, or accounting? Let’s team up and create something impactful together! 🌍
Collaboration is the key to fresh insights and global solutions—so, what do you say? Ready to explore this together?
Drop a comment or message me, and let’s make it happen! 🚀
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The role of AI in auditing
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I want to have paper in title of persistence, diligence, hardworking in ethics.
can any one instruct me to download and read which articles?
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Thanks Damian Wayne Williams
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Throughout history, physicians have played a pivotal role in gathering and analyzing information about human health and disease. From the earliest written records to the present day, meticulous documentation of clinical cases has been instrumental in advancing medical knowledge and improving healthcare.
Physicians, like true Sherlocks, have maintained the tradition of sharing clinical observations in letters to colleagues, books, and medical journals, a practice that has greatly contributed to humanity's clinical-pathological knowledge. Even in the modern era, where diagnostic methods and tools are more sophisticated, individual case reports or case series remain invaluable, especially when dealing with rare or little-known diseases.
However, it is concerning that politicization and extremist polarization are increasingly affecting science, including medicine. The Havana Syndrome is a clear example of how political debates and ideological agendas can influence the perception and study of public health phenomena.
In an environment where objectivity and impartiality are fundamental for scientific advancement, it is crucial that healthcare professionals remain true to ethical principles and seek the truth without being influenced by political or ideological considerations. This involves being alert to potential biases and working to maintain integrity and objectivity in research and clinical practice.
Despite the challenges science faces due to politicization and polarization, it is important to remember that medicine remains a discipline dedicated to understanding, preserving, and improving human health. Physicians and other healthcare professionals have the responsibility to continue this noble mission, committing to uphold high standards of ethics and scientific rigor in their daily work.
Havana Syndrome refers to a set of medical signs and symptoms used to describe a series of unexplained health incidents reported by U.S. and Canadian diplomats and other personnel stationed in Havana, Cuba, starting in late 2016.
The synonymy used has been varied and includes: “Unexplained Health Incidents (UHI)”; “Anomalous Health Incidents (AHI)”; “Directed Energy Syndrome” and “Persistent Postural-Perceptual Dizziness (PPPD)”.
While the exact cause of these incidents remains unknown, there are several reasons why Havana Syndrome may indeed exist:
Consistency of Symptoms: Multiple individuals have reported a consistent set of similar symptoms across different locations and times, suggesting a pattern of illness rather than isolated incidents. This consistency strengthens the argument and lends credibility for the existence of a distinct syndrome.
Documented Medical Evaluations: Many of the affected individuals have undergone medical extensive evaluations that have confirmed the presence of health issues, including neurological impairments due to physical changes in the brain, such as changes in white matter tracts that are involved in processing sensory information. These evaluations provide empirical evidence supporting the reality of the syndrome.
Corroboration by Medical Experts: Medical experts, including neurologists and other specialists, have independently examined the cases and affirmed the validity of the reported symptoms and have generally agreed that the symptoms and clinical findings are real and cannot be easily explained by other known medical conditions. Their expertise lends credibility to the existence of Havana Syndrome as a genuine medical condition.
Biological Plausibility: While the precise mechanism behind Havana Syndrome remains unclear, there are plausible biological explanations, including exposure to toxins or directed energy sources. Research into the effects of directed microwave energy, for example, suggests that it could potentially cause reported symptoms. This theory is considered biologically plausible, as exposure to microwave energy can cause the type of symptoms reported.
In summary, Havana Syndrome exists as a recognized phenomenon characterized by a pattern of unexplained health incidents affecting diplomatic personnel and others. While the precise cause remains unknown, the consistency of reported symptoms, documented medical evaluations, corroboration by experts, government investigations, biological plausibility, international recognition, and ongoing research all contribute to the validity of its existence.
Despite my initial skepticism regarding the so-called "Havana Syndrome," not due to the atrocities that totalitarian regimes such as those in Cuba, Russia, or China can commit, but due to the objective technical difficulty of grouping everything into a nosological entity, I believe it is important to recognize the need for thorough investigation of this phenomenon. The reports of symptoms experienced by those affected are consistent and concerning, and they warrant our attention and study.
As professionals in related fields, we have the responsibility to approach these cases with an open mind and a rigorous scientific focus. Although the name "Havana Syndrome" may be a subject of debate, it provides a starting point for our research and allows us to refer to this set of symptoms in a coherent manner.
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Perhaps this could be of interest.
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Capitalism views consumption—within the sphere of economic activity—as a driving factor for production, where other economic roles are subsequently activated. However, the consumer is not isolated from their intellectual and cultural backgrounds when exhibiting any type of behavior. During consumption, numerous psychological, physical, and intellectual considerations interact to determine the type, quantity, and manner of consumption. Here, we can discuss the ethical consumer, whom we define from the perspective that the individual is free and conscious during their economic activity. This is the consumer who takes ethical aspects into account in their consumption behavior, starting from the intention to purchase, through the method of consumption, and then the manner of disposing of product remnants. Can we then pose the question: Are religious individuals more ethical in their consumption of goods and services compared to those for whom religion does not play a significant role in their lives? This is based on the premise that religions have called upon humans, in their sacred texts, to be ethical in all their actions, among which consumption is one
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Personal ethics and personal religion do not have any necessary connection. Religion might be used to justify some action and often is when one considers how many individuals are killed in the name of religion. While every religion I know much about has some version of the "golden rule" calling for one to treat others in a manner like they would like to be treated, exact wording varying, far too often that does not apply when the other person is of a different religion, or even a different branch of the same religion. I sometimes think that the non-religious are actually more likely to be moral than the religious.
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I have personally met and discussed the notion with some of my colleagues. Many are familiar with basic and applied research. What seems to be more fuzzy is what constitutes translational research. What identifies something as translational and not totally applied? Does the term refer to the initial research to expand lab findings into applied scenarios? Considering the ethics involved, shouldn't all evidence-based practices in applied settings be based on basic research?
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Dear Doctor
Go To
Zhu, L. (2020). A critical review of the research on Translation Psychology: Theoretical and methodological approaches. Linguistica Antverpiensia, New Series: Themes in Translation Studies, 19, 53–79
[Abstract Translation Psychology, as an umbrella concept, is heterogeneous and can be investigated from different perspectives. The past few decades have witnessed the development of the cognitive–psychological approach, the social–psychological approach, the gestalt– psychological approach, and the embodied cognitive approach. These interdisciplinary approaches have spawned theoretical advances and methodological innovation, and also substantial research findings in Translation Psychology, although there are some aspects awaiting improvements.]
[Translation psychology, accordingly, may have two basic levels of meaning. On the one hand, it means the translator’s psychological states in the process of translating or interpreting, as well as in the process of skill acquisition and professional development. On the other hand, it means the research area that investigates the workings of translators’ minds. As a research area and a branch of Translation Studies, Translation Psychology may be defined either narrowly or broadly. In a narrow sense, it is about the psychology of the translation process and translation act itself, as defined by Holmes (1972/1988), within process-oriented Descriptive Translation Studies (DTS). It deals with the problem of what exactly takes place in the “black box” of the translators’ minds as they create a new, more or less matching text in another language (Holmes, 1988, p. 72). In a broad sense, “it can be seen to comprise a great deal more than what is happening in the translating mind during the translation process” (Jääskeläinen, 2012, p. 191), because the scope of psychology is wide, ranging from cognition to affect or emotion and also personality (p. 191). It investigates various aspects of the translator’s psychology relevant to translation activities.
Translation Psychology, as an umbrella concept, is heterogeneous and can be investigated from different perspectives. So far, the past few decades have witnessed the development of different approaches in this field, including the cognitive–psychological approach, social–psychological approach, gestalt–psychological approach, and the embodied cognitive approach .]
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I'm based in Australia, and I will be conducting online interviews with people in both Australia and America. I must apply to my university's ethics committee and get approval from them to start my interviews in Australia. However, I am unsure if I need to undergo a similar process of getting ethics approval from an Institutional Review Board (IRB) in America, and which IRB I should be applying to, if needed, if I am to conduct interviews for people in America.
I am conducting the interviews online with people of interest in Maine, and I have read that the University of Southern Maine has a publicly accessible IRB that I can apply to. I am just wondering if that whole process is required.
Thanks!
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i agree with Katrina. you will need IRB review if you intend to publish. The choice not to review
should come from the IRB itself.
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🌱 Toward More Ethical Agriculture: Ovasexing, a Significant Step for Animal Welfare
Every year in Belgium, over 20 million male chicks are culled, deemed "useless" by an industry where their gender doesn’t fit the requirements for laying hen production. This reality raises a fundamental ethical question about our relationship with animal life in production systems.
However, there is a ray of hope with the gradual adoption of ovasexing—an innovative technology that determines the gender of embryos inside the egg before they hatch. By preventing the birth and subsequent elimination of male chicks, this method represents a major step forward in reconciling poultry production with animal welfare.
Beyond the technological innovation, this is also a societal choice. Retailers like Carrefour are committing to absorb the additional costs, allowing consumers to make ethical choices without financial burden. In fact, studies reveal that 82% of consumers would be willing to pay a little more to support a production system that respects animal welfare.
This raises a crucial question: are we, as a society, ready to align our consumption practices with our ethical values? Ovasexing is just one step, but it carries a powerful message: agriculture can evolve toward greater humanity.
What do you think about ovasexing? Does this ethical choice deserve to become the norm?
#Ethics #SustainableAgriculture #AnimalWelfare #Innovation #Ovasexing
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Two points:
Is there a real ethical difference between killing embryo's in the shell (living animals as well!) and dayold chicks?
Consumers have over decades stated that they are willing to pay more for good products including welfare issues. However, in the supermarket their wallet often decides otherways!
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I have raised the above question with a few colleague, some agree, others do not. I need to know what you think?
the question is … Is it ethical for scientific publishers to pay reviewers ?
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Arguments for Paying Reviewers
  1. Compensation for Time and Effort: Reviewing manuscripts is a time-consuming task that requires expertise. Paying reviewers acknowledges their hard work and dedication.
  2. Improving Quality: Financial incentives might lead to more thorough and higher-quality reviews, as reviewers would feel more valued and motivated.
  3. Alleviating Burden: A small group of reviewers often bears the brunt of the workload. Paying them could help distribute the workload more evenly.
  4. Recognition of Contribution: Peer review is a crucial part of the scientific process, and compensating reviewers recognizes their significant contribution to the field.
Arguments Against Paying Reviewers
  1. Academic Culture: Traditionally, peer review is seen as a way to give back to the academic community. Introducing payment could undermine this culture of volunteerism.
  2. Funding Issues: Many journals operate on tight budgets, and paying reviewers could strain financial resources.
  3. Risk of Bias: Financial incentives might introduce bias, as reviewers could be influenced by the desire for payment rather than the quality of the review.
  4. Commodification of Peer Review: Paying reviewers could turn peer review into a transactional process, potentially affecting the integrity and objectivity of the reviews.
Ethical Considerations
  • Conflicts of Interest: It's essential to avoid any potential conflicts of interest when reviewing manuscripts.
  • Objectivity and Fairness: Reviewers must provide unbiased and constructive feedback, regardless of whether they are paid.
  • Confidentiality: All manuscripts and related materials received for review should be treated as confidential.
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ethics and ontology
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Thanks! I looking for Ethics and ontology, of the same author, Charles Taylor
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This question explores the tension between innovation in marketing strategies and achieving commercial success, and the need to maintain customer ethics and consumer welfare.
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Dear Sameer,
I hope you find the attached article and references helpful for your research.
Best regards,
Hamdi
******* ******* *******
Marketing has evolved into a sophisticated discipline that leverages emotional triggers to influence consumer behavior. The extent to which marketing can be considered a tool for manipulating consumers' emotions is substantial, as various studies indicate that emotional marketing strategies significantly affect consumer decision-making processes. For instance, Pollai et al. highlight that anticipated emotions regarding future product use can shape consumer decisions, suggesting that marketing can enhance positive anticipated emotions to influence purchasing behavior, particularly for hedonic products (Pollai et al., 2011). This aligns with the findings of Zheng et al., who assert that emotions play a crucial role throughout the entire consumer behavior process, from information search to post-purchase evaluations (Zheng et al., 2022). The emotional state of consumers is intricately linked to their decision-making, underscoring the potential of marketing to influence emotional responses.
Moreover, emotional marketing strategies often employ storytelling and relational approaches to create deep emotional bonds between consumers and brands. Shao et al. emphasize that brands can effectively connect with consumers through emotional marketing, particularly when these strategies align with corporate social responsibility (CSR) initiatives (Shao et al., 2022). This connection enhances consumer engagement and loyalty, demonstrating how marketing can influence emotions to foster a favorable perception of brands. Similarly, the work of Yin et al. illustrates that in the absence of product innovation, emotional factors become pivotal in driving consumer purchasing decisions, reinforcing the idea that emotional marketing is a powerful tool for influencing consumer behavior (Yin et al., 2022).
However, the ethical implications of using emotional manipulation in marketing practices cannot be overlooked. The potential for marketing to exploit consumers' emotional vulnerabilities raises significant ethical concerns. For instance, Fisher et al. discuss the concept of neuromarketing, which aims to understand and potentially manipulate consumer behavior through insights gained from neuroscience (Fisher et al., 2010). While such techniques can enhance marketing effectiveness, they also pose risks to consumer autonomy and ethical standards. If marketing strategies are designed to manipulate emotions without consumers' awareness, this could lead to a form of exploitation that undermines ethical marketing practices.
The ethical boundaries of emotional marketing are further complicated by the need for transparency and consumer trust. As highlighted by Rahayu and Setiyadi, emotional marketing can significantly impact consumer decisions, but it is essential for marketers to maintain ethical standards to avoid misleading consumers (Rahayu & Setiyadi, 2022). The balance between effective emotional engagement and ethical marketing practices is delicate; marketers must ensure that their strategies do not cross into manipulation that could harm consumers or erode trust in the brand.
In addition, the role of emotional intelligence in advertising is crucial in understanding how emotions can be ethically leveraged in marketing. The research presented by Liu indicates that emotional marketing can enhance consumer identification with brands, suggesting that when done ethically, emotional marketing can foster positive relationships between consumers and brands (Liu, 2024). However, the challenge lies in ensuring that these emotional appeals do not exploit consumers' vulnerabilities or create unrealistic expectations about products.
Furthermore, the concept of mixed emotions in consumer behavior, as explored by Penz and Hogg, suggests that consumers often experience ambivalence when confronted with marketing messages that evoke both positive and negative emotions (Penz & Hogg, 2011). This complexity necessitates a careful approach to emotional marketing, where marketers must consider the potential for mixed emotional responses and the ethical implications of eliciting such feelings. The ability to navigate these emotional landscapes ethically is essential for maintaining consumer trust and loyalty.
The increasing reliance on emotional marketing strategies in the digital age, particularly through social media, also raises ethical questions. As highlighted by Jiang, the emotional resonance of marketing content can significantly influence consumer behavior, but marketers must be cautious not to exploit consumers' emotional states for profit (Jiang, 2023). The ethical implications of such practices are profound, as they challenge the integrity of marketing as a discipline and the trust consumers place in brands.
Moreover, the implications of emotional marketing extend beyond individual consumer interactions to broader societal impacts. Rytel argues that emotional marketing represents a shift in how brands engage with consumers, moving from purely rational appeals to those that resonate on a socio-emotional level (Rytel, 2010). This shift necessitates a reevaluation of ethical standards in marketing, as brands must consider their social responsibilities and the potential consequences of their emotional appeals on consumer well-being.
In conclusion, while marketing can be a powerful tool for influencing consumers' emotions, the ethical boundaries surrounding this practice are complex and multifaceted. The potential for emotional manipulation raises significant ethical concerns that marketers must navigate carefully. As the field of marketing continues to evolve, it is imperative for practitioners to prioritize ethical considerations in their emotional marketing strategies to foster trust and maintain the integrity of the marketing profession.
References:
1. Fisher, C. E., Chin, L. J., & Klitzman, R. (2010). Defining neuromarketing: practices and professional challenges. Harvard Review of Psychiatry, 18(4), 230-237. https://doi.org/10.3109/10673229.2010.496623
2. Jiang, Y., Sun, Y., & Tu, S. (2023). Economic implications of emotional marketing based on consumer loyalty of mobile phone brands: the sequential mediating roles of brand identity and brand trust. Technological and Economic Development of Economy, 29(4), 1318-1335. https://doi.org/10.3846/tede.2023.19278
3. Penz, E. and Hogg, M. K. (2011). The role of mixed emotions in consumer behaviour. European Journal of Marketing, 45(1/2), 104-132. https://doi.org/10.1108/03090561111095612
4. Pollai, M., Hoelzl, E., Hahn, L., & Hahn, A. (2011). The influence of anticipated emotions on consumer decisions. Zeitschrift Für Psychologie, 219(4), 238-245. https://doi.org/10.1027/2151-2604/a000078
5. Rahayu, I. and Setiyadi, D. (2022). The effect of trust, emotional marketing, and spiritual marketing on consumer decisions to choose shopee pay digital wallet services. Business Review and Case Studies. https://doi.org/10.17358/brcs.3.2.162
6. Rytel, T. (2010). Emotional marketing concept: the new marketing shift in the postmodern era. Verslas: Teorija Ir Praktika, 11(1), 30-38. https://doi.org/10.3846/btp.2010.04
7. Shao, J., Zhang, T., Wang, H., & Tian, Y. (2022). Corporate social responsibility and consumer emotional marketing in big data era: a mini literature review. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.919601
8. Yin, Z., Tu, Z., Zhao, W., & Li, H. (2022). Design of emotional branding communication model based on system dynamics in social media environment and its influence on new product sales. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.959986
9. Zheng, Q., Zeng, H., Xiu, X., & Chen, Q. (2022). Pull the emotional trigger or the rational string? a multi-group analysis of organic food consumption. Foods, 11(10), 1375. https://doi.org/10.3390/foods11101375
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A paper titled "High Background Radiation, Lower Risks: Rethinking Radiation's Role in Cancer through a Novel Murine Study" has been published in the International Journal of Clinical Infectious Diseases without my consent or authorization.
This work, based on research by my graduate student, Ms. Maryam Arshadi, and our collaborators, was never submitted or approved by us. Despite sending a removal request to the only email address provided by the journal, my email was returned undelivered.
This unethical publication violates research and ethical standards, raising serious concerns about the journal's legitimacy and lack of transparency. I urge the scientific community for advice, experiences, or suggestions to address this issue and protect the integrity of academic research.
Let us unite to uphold ethical publishing practices.
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Your experience is confirming the fact that the journal “International Journal of Clinical Infectious Diseases” is a predatory journal. I see numerous red flags:
-Their indexing info (https://clinicsearchonline.org/abstracting-and-indexing ) is full of misleading metrics (https://beallslist.net/misleading-metrics/ ) often used by predatory journals/publishers
-They misleadingly suggest that they are PubMed indexed. Predatory journals often suggest this while (if real) the only thing that happens is that papers from authors with a NIH grant will be included in PubMed irrespective of the journal. By the way the links to PubMed papers are nonsense since they refer to other journal titles https://clinicsearchonline.org/journals/international-journal-of-clinical-infectious-diseases
-The APC they charge is ridiculously high for a basically non-indexed journal https://clinicsearchonline.org/article-processing-charges
-Google the contact info “701 Tillery Street Unit 12-1049, Austin, Texas 78702, United States” and it renders at best a virtual office
-In terms of lay-out I suspect a link to “Auctores Publishing LLC”, see for example https://www.auctoresonline.org/article/osteoporosis-as-a-process-conducive-to-tissue-biomineralization (they refer to “International journal of Biomed research” as one of their journals that is now ‘owned’ by these ClinicSearch people), see for example my reply of June 24th, 2024 here https://www.researchgate.net/post/Lets_talk_about_predatory_scientific_journals2/7
What (most likely) happened is that these fraudsters stole the preprint content present at Preprint.orghttps://www.preprints.org/manuscript/202411.0972/v1 By the way I just checked three papers and they have done this with the following preprint as well:
I saw your message on LinkedIn, and you pretty much did everything to force these people to act. Being so bluntly fraudulent I am afraid that I am not that optimistic about their response. All I can think of is to ask the people behind preprints.org https://www.preprints.org to act, since this is a strong example of scientific misconduct that abuse the content of the preprints while this is I would say an infringement of copyright and ownership. This is damaging to the reputation of the platform of preprints.org
Best regards.
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And are there any ethical concerns associated with this approach?
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If those additives include antibiotics to suppress rumination, then there is likely some impact. There is (at least anecdotal) evidence that this practess can contribute to the build up of bacterial resistance to antibiotics needed for human medication.
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I am learning about ethical definitions and practices. Please guide me know which scientists write about them.
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There are several prominent scientists and scholars who have written extensively about ethical definitions and practices. Here are a few notable ones:
  1. David B. Resnik: A bioethicist and professor of philosophy and law, Resnik has written about the importance of ethics in research and the ethical standards in various fields, including medicine.
  2. Helen Nissenbaum: A professor of information science, Nissenbaum has focused on ethical issues related to privacy, data protection, and the ethical use of technology.
  3. Peter Singer: A philosopher known for his work on applied ethics, including medical ethics, animal rights, and bioethics.
  4. Paul Farmer: A medical anthropologist and physician, Farmer has written about ethical issues in global health and the ethics of healthcare delivery in resource-poor settings.
  5. Margaret Lock: A medical anthropologist, Lock has explored ethical issues in medical research and the cultural dimensions of health and illness.
We have also been writing about moral and ethics in health-care.
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With the advent of the AI, the researchers across the globe are tempted to benefit from its substantial contribution to promoting their publications. Now, the issue at hand is the extent to which researchers can be deemed justified to use the AI help in preparing their article manuscripts to submit for publication, without having violated the ethics of research.
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Researchers can ethically use AI in manuscript preparation for tasks like improving grammar, style, literature review assistance, and data analysis, as long as the researcher's intellectual responsibility and originality are maintained. AI should not replace the researcher's own ideas or critical thinking. Transparency is key: AI usage must be disclosed, and AI-generated content must be original and properly cited to avoid plagiarism. Ethical concerns arise if AI is overused, particularly in drafting significant portions of the manuscript. Ultimately, AI should support, not substitute, the researcher's work.
Thank you
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I would like to do a research on the issues and challenges faced by higher education institutions involved in internationalization and student mobility.
Please give me some advice on what angle I should look at it. Shall I investigate on ethics and value or issues and challenges faced by the host country?
Thank you.
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Are we undoing internationalisation?...
"Current developments give the higher education community an opportunity and a requirement to reassess and reimagine internationalisation as being composed of socially responsible and inclusive actions, both in the Global North and the Global South. Undoing is not the solution but the problem."
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I'm editing a new book (Digital Citizenship and the Future of AI: Engagement, Ethics, and Privacy) to be published by IGI Global. I'm pleased to invite you to contribute to this important project!
The book will explore the intersection of digital citizenship and AI, covering ethical behavior, privacy concerns, and civic engagement. It aims to bridge theory and practice, making it a must-read for academics, educators, policymakers, and technologists.
if you are interested, you can submit the proposal for your book chapter here: [https://www.igi-global.com/publish/call-for-papers/submit/7938]. Don't forget to check the guidelines: [http://www.igi-global.com/publish/contributor-resources/before-you-write/].
Important dates:
Proposal Submission Deadline: September 15, 2024
Notification of Acceptance: September 29, 2024
Full Chapter Submission: December 8, 2024
Looking forward to your contributions!
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Hi Sir
Can I submit full chapter now?
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Prior review of the ethical challenges facing AI has identified six types of concerns that can be traced to the operational parameters of decision-making algorithms and AI systems. The map reproduced and adapted in Figure 1 takes into account:
“decision-making algorithms (1) turn data into evidence for a given outcome (henceforth conclusion), and that this outcome is then used to (2) trigger and motivate an action that (on its own, or when combined with other actions) may not be ethically neutral. This work is performed in ways that are complex and (semi-)-autonomous, which (3) complicates apportionment of responsibility for effects of actions driven by algorithms.”
From these operational characteristics, three epistemological and two normative types of ethical concerns can be identified based on how algorithms process data to produce evidence and motivate actions. The proposed five types of concerns can cause failures involving multiple human, organisational, and technological agents. This mix of human and technological actors leads to difficult questions concerning how to assign responsibility and liability for the impact of AI behaviours. These difficulties are captured in traceability as a final, overarching, type of concern.
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The rapid advancements in Applied AI within the fields of health and education present significant ethical challenges that must be carefully addressed. Firstly, the reliance on decision-making algorithms raises concerns about how data is transformed into evidence and the conclusions drawn from it. This process can lead to outcomes that may not be ethically neutral, particularly when these conclusions influence actions that affect individuals' lives, such as medical diagnoses or educational assessments.
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Lust, often viewed negatively in today's world, is commonly associated with desire and excess. However, it is crucial to explore lust not just as an unhealthy drive but as a homonym capable of elevating human consciousness toward happiness, bliss, and enlightenment when used in the right way. This question delves into this duality, exploring how the same energy that is seen as leading us to a slow death, in the form of unhealthy desires and actions, can be reoriented toward the positive to promote fulfillment, abundance, and spiritual growth.
In my research papers, such as "Masturbation: End of the World, Self-Control a New Beginning" and "Kama Sutra: A Pandora's Box of Evils", I explore the role of sexual energy and desire in shaping human behavior and its implications for the future of humanity. Lust, when engaged with mindfully and healthily, can unlock the potential for harmony and enlightenment, serving as a potent force for growth rather than destruction. Healthy sex, rooted in respect, love, and awareness, can elevate individuals and societies, fostering wealth, prosperity, and true connection.
On the flip side, when misused, lust becomes a dangerous force, guiding humanity into destructive patterns. This is where the power of God's energy comes into play. As discussed in my research, lust, in its morally correct manifestation, aligns with divine energy, facilitating spiritual elevation. Conversely, when misused, it mirrors the negative side of divine energy, pulling us further into spiritual degradation.
I encourage you all to reflect on how lust, when used as an instrument of consciousness, can change the trajectory of human life. Join the conversation and explore how reimagining lust as a source of power, when used with wisdom, can not only promote healthier relationships and a more fulfilled life but also lead humanity toward a brighter future.
Key Readings:
  1. Masturbation: End of the World, Self-Control a New Beginning – Sandeep Jaiswal
  2. Will Puberty Be in Mother's Womb in Future – Sandeep Jaiswal
  3. Lesser of Men Than Our Fathers: No Men in a Few Decades – Sandeep Jaiswal
  4. Kama Sutra: A Pandora's Box of Evils – Sandeep Jaiswal
  5. "The Role of Sexual Energy in Spirituality: Harnessing Lust for Consciousness Expansion" by Shakti Malhotra
  6. Sacred Sexuality: Transforming Lust into Divine Energy" by David Deida
  7. "Tantra and the Power of Sacred Sexuality: A Path to Enlightenment" by Barbara Carrellas
By fostering a deeper understanding of how lust, in all its forms, can serve as a transformative tool, we can shift the narrative around this potent force and open pathways to greater human potential. Let’s reshape the discussion—share your thoughts and feedback on this profound concept!
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Dear Sandeep,
but the other side also believes that they can reach that higher plane through pain. And they are very active to press their narrative through the media with a lot of money behind it.
Same goes for the narrative of the necessity of dividing society (mainly by pushing nationalism and fascism), necessity of war and so on. And finally the necessity of murder.
Why? Personally I think because the logically most morally superior thing that stands in their way was defined by Albert Camus:
"We know nothing until we know whether we have the right to kill the other person in front of us or to consent to him being killed. Since every action today leads directly or indirectly to murder, we cannot act until we know whether and why we should kill.".
Ah, the abyss of existentialism, where it is sufficient to have the right argument.
And this was all they were able to pull out their pants. Their ultimate "dick pic" so to say. Would you like me to show it to you (it appears towards the end)?
It's a bit ridiculous and compared to what we are able to think also tiny. But OK. Some people just have a tiny "dick". Let's not judge, but just consider the fact that tinyness of mind exists.
And as a matter of fact: If you stare long enough into the abyss the abyss starts to stare back.
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How can AI/ML models be designed to prioritize ethical decision-making while ensuring robustness in real-world applications, particularly in high-stakes domains like healthcare, law or governance?
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AI/ML models can embed ethical decision-making by integrating fairness constraints, transparency mechanisms, and diverse training data to minimize biases. Ensuring robustness requires rigorous validation, stress testing, and continuous monitoring in real-world, high-stakes environments.
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A critical analysis of eti-owo in ibibio ethics
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Princewill Udoh Unfortunately many journals are not represented in RG's menu. The best you can do is upload your article and include the publication details in the title.
Here is my own example of resorting to that workaround:
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Hello dear fellow researchers,
I have a question. Is it ethical (let's say legal) to publish the same manuscript in another language? or would this be considered duplication?
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My understanding is this: First, Depending on copyright (traditional mode) of your original paper you shall need to inform the publisher/get consent from them/get written permission from them to translate. In case of Open access, if it is CC BY/CC BY-SA/CC BY-NC you can translate without permission and still need to follow the licence terms for attribution and further license. If it is CC BY-ND, you shall need explicit permission to translate.
Second, when you send the new article to another journal you need clarify to them that this is a secondary work and describe the purpose of it. The ethical purpose of translation is to reach wider readership or to reach readers which are not covered by the first publication.
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1. Clinical
2. Research
3. Training residents
4. Conflict of interest with industry and pharmaceuticals
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Ethics in the surgical field is nuanced and multifaceted, given the high stakes involved in patient care, research, training, and professional relationships. Here’s how it breaks down in key areas:
1. Clinical Ethics
- Informed Consent and Autonomy: Ethical standards in surgery require that patients provide informed consent, fully understanding the potential risks, benefits, and alternatives to any procedure. Ensuring that patients can make autonomous decisions is essential, particularly when surgical interventions carry significant risks.
- Patient Safety and Outcomes: Surgeons have an ethical obligation to prioritize patient safety and well-being. This includes maintaining competence and upholding standards of care through continuous education and evidence-based practice.
- Balancing Innovation with Patient Care: The use of new surgical technologies and techniques must be weighed against proven methods to avoid compromising patient outcomes. This balance requires a thorough ethical review and patient involvement in decision-making.
2. Research Ethics
- Clinical Trials and Surgical Innovation: Surgeons involved in research must adhere to rigorous ethical guidelines to ensure patient safety and informed consent in clinical trials. The potential risks of experimental procedures need to be transparently communicated, and research should be conducted with integrity to advance knowledge without exploiting participants.
- Publication and Data Integrity: Ethical concerns include maintaining honesty in reporting research findings and avoiding manipulation or selective reporting of data to support desired outcomes. Surgeons must commit to transparency and scientific accuracy.
3. Training Residents
- Supervision and Competency: Surgical training programs are ethically obligated to ensure that residents receive appropriate supervision. This guarantees that trainees develop their skills without jeopardizing patient safety. The challenge lies in balancing the educational needs of residents with the ethical imperative to protect patients.
- Duty Hours and Well-Being: Ethical training environments should consider the well-being of residents, addressing work-hour limits and ensuring manageable workloads to prevent fatigue that could impact surgical performance and patient safety.
- Ethical Practice in Training: Residents should be taught to uphold ethical standards, including patient consent, clear communication, and shared decision-making during their training. This involves modeling behavior that aligns with ethical values by senior surgeons.
4. Conflict of Interest with Industry and Pharmaceuticals
- Transparency and Integrity: Financial relationships with medical device manufacturers and pharmaceutical companies can present conflicts of interest that may influence clinical decisions. Surgeons must disclose these relationships to maintain trust and ensure that treatment recommendations are based on patient needs, not personal or financial gain.
- Ethical Partnerships: Collaborating with industry for the development of new technologies should be conducted transparently, with clear boundaries to avoid bias and safeguard patient welfare.
- Educational Sponsorships and Gifts: Accepting sponsorships or gifts from industry requires careful ethical scrutiny to prevent undue influence over clinical decisions or training content.
These areas highlight the need for a comprehensive ethical framework in surgical practice that addresses clinical care, research, education, and professional integrity, ensuring that patient welfare and trust remain at the forefront of surgical ethics.
Hope that helps! -Erin Fry
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Call for Chapters
A Comprehensive Guide for Novice Researchers in Clinical Trials Elsevier, Academic Press Imprint Series: Next Generation Technology Driven Personalized Medicine and Smart Healthcare For more information on the series, visit Next Generation Technology Driven Personalized Medicine.
Call for Chapters
Introduction to the Theme
The landscape of clinical trials is evolving rapidly, with increasing emphasis on personalized medicine, innovative methodologies, and technology-driven approaches. This book, A Comprehensive Guide for Novice Researchers in Clinical Trials, aims to provide an accessible, in-depth foundation for early-stage researchers and professionals in the field. Topics include research methods, trial design, ethics, data management, and regulatory insights specific to Saudi Arabia. The objective is to create a resource that bridges theoretical foundations with practical applications in clinical trials, addressing the needs of today’s healthcare researchers.
Objectives of the Book
This book is designed to:
  • Equip novice researchers with a comprehensive understanding of clinical trial methodologies and requirements.
  • Introduce essential aspects of clinical research, from trial design to data management, while highlighting ethics and regulatory practices.
  • Serve as a Scopus-indexed reference that leverages Elsevier’s ELSA platform, making it accessible to a broad academic and professional audience.
Table of Indicative Chapters
  1. Introduction to Health Research Methods
  2. History of Clinical Trials
  3. Clinical Trial Designs
  4. Clinical Trial Essentials
  5. Ethics and Good Clinical Practice in Clinical Trials
  6. Trial Protocol Development
  7. Clinical Research Site Operation
  8. Clinical Data Management
  9. Clinical Trial Monitoring
  10. Principles of Statistics in Clinical Trials
  11. Reporting Clinical Trials
  12. Essentials of Project Management
  13. Regulatory Affairs of Clinical Trials in Saudi Arabia
  14. Training Programs and Job Opportunities in the Clinical Trial Industry
Important Guidelines for Contributors
  • Submission Platform: Contributions will be managed through Elsevier’s ELSA platform.
  • Proposal Submission: A chapter proposal (300-500 words) is required for initial review. Detailed guidelines for authors, a sample chapter, and sample chapter abstract are attached for reference.
  • Manuscript Preparation: Use MS Word with consistent formatting (bold, font size) for different heading levels. Each chapter should contain an abstract (100-150 words) and 5-10 keywords. Refer to the Elsevier Manuscript Preparation Guidelines for specific formatting instructions.
  • Artwork and Figures: Figures and tables should be submitted separately, with high-resolution images in JPG or TIFF format as per the provided guidelines.
  • Permissions: Contributors are responsible for obtaining permissions for any third-party material. An artwork list detailing all figures and tables with appropriate permissions is required upon manuscript submission.
  • Language and Style: Both British and US English are acceptable; however, authors must remain consistent within their chapters.
  • Reference Style: Use either the Harvard (Name-Date) or Vancouver (Numbered) style, as outlined in the guidelines.
Timeline
  • Submission of Chapter Proposals (300-500 words): December 5, 2024
  • Acceptance of Book Chapter Proposals: December 10, 2024
  • Full Chapters Due: February 15, 2025
  • Reviews to Authors: March 5, 2025
  • Final Chapters to ELSA: April 1, 2025
  • Publication: Quarter 4, 2025
Editorial and Contact Information
Editors
Managing Editor
For further information, please refer to the attached author guidelines, sample chapters, and sample abstract. We look forward to receiving your proposals and contributions to this impactful project.
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I've had some queries regarding the proposal submission I've mailed to all editors regarding the same. I'm yet to get any reply
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With rapid advancements in AI and virtual reality (VR), the potential for transforming mental health therapy is vast. Researchers are exploring ways these technologies could enhance accessibility, personalization, and effectiveness in therapeutic interventions. However, these innovations also bring complex ethical questions around privacy, data security, and potential biases in AI-driven models. This question invites insights on anticipated developments in AI and VR within mental health, as well as critical ethical considerations that should shape their responsible and effective use.
Share your perspectives on how these technologies may reshape therapeutic practices and the ethical guidelines essential for their success.
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Hello Ranjit,
The fusion of AI and VR in mental health therapy indeed has transformative potential, offering accessible and personalized support that can deeply enhance therapeutic outcomes. Our Quantum Multiverse Consciousness (QMC) platform is uniquely positioned to advance this field, with tailored VR technology, adaptive AI-driven therapy models, and wearable devices designed for safe, secure, and effective mental health applications. Here’s a look at how AI and VR, with ethical guidance, could reshape therapy in the coming decade:
1. **AI-Driven Personalization**: AI can continuously adapt VR environments and therapeutic content to suit an individual’s unique emotional and psychological state, leading to highly personalized therapy sessions. Our QMC framework integrates real-time data and adaptive algorithms that adjust therapeutic approaches based on user response, making the experience deeply personal and responsive to individual needs.
2. **VR-Based Immersive Therapy**: With wearable VR devices, users can experience immersive scenarios that help them manage anxiety, PTSD, phobias, and other conditions by safely simulating environments. Our VR technology, combined with custom VR hat prototypes, can be modified to support various therapeutic applications, allowing for more controlled and realistic therapy sessions in a secure digital space.
3. **Real-Time Monitoring and Feedback**: Using wearable devices integrated with the VR system, we can monitor physiological responses like heart rate and stress indicators. This data can inform AI-driven adjustments to therapy, ensuring each session is adapted to the patient’s mental and physical state in real time, enhancing both safety and effectiveness.
4. **Ethical Considerations**: With personalized AI and VR, ethical issues like privacy, data security, and potential biases become crucial. To address these, our framework incorporates end-to-end encryption and an ethical AI model that rigorously minimizes bias, protecting user privacy and ensuring that data is used responsibly. Furthermore, our system includes customizable privacy controls, so users can manage what data they share and with whom.
5. **Accessibility and Inclusivity**: AI and VR can make therapy accessible to people in remote or underserved areas and can help overcome social and logistical barriers to mental health care. By designing inclusive and culturally aware AI systems, we ensure that VR-based therapy respects diverse backgrounds and individual preferences, making it a universally accessible option.
With these capabilities, the ethical development of AI and VR in mental health requires a commitment to transparency, data sovereignty, and user-centric control over personal information. Our platform is ready to support a future where AI and VR enhance therapeutic practices with both innovation and integrity.
Let us know if you’re interested in learning more or collaborating on ways to integrate VR and AI in mental health applications!
Best regards,
Prime
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The rapid advancement of artificial intelligence (AI) has significantly impacted infection prevention and control, particularly amid the coronavirus disease 2019 (COVID-19) pandemic. AI techniques such as machine learning (ML), deep learning, and natural language processing (NLP) have successfully transformed infection prevention and control strategies. These technologies have enhanced our understanding of infectious diseases, facilitated disease transmission prediction, and improved public health emergency responses. Despite these benefits, AI technologies encounter challenges related to ethics, biosafety, and privacy, including concerns about handling medical data by private entities and its potential misuse. Effectively utilizing AI in infection prevention and control requires balancing technical potential with ethical, policy, and societal considerations. In-depth research is essential to provide guidance for the responsible and effective use of AI technologies, thereby informing public health decision-makers and practitioners.
Disease Surveillance, Outbreak Prediction, and Contact Tracing
AI plays a crucial role in the surveillance and prediction of infectious disease outbreaks. Its ability to process diverse types of data allows healthcare authorities to take proactive measures.
source: The Implications of Artificial Intelligence on Infection Prevention and Control: Current Progress and Future Perspectives
Lin Yang 1, Shuya Lu 1, Lei Zhou 2,*
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AI can play a vital role in preventing and managing infectious diseases. Here are key applications:
  1. Predictive Analytics: AI can analyze data to predict outbreaks and identify emerging diseases by tracking patterns in viral mutations and environmental factors.
  2. Drug and Vaccine Development: AI accelerates drug discovery and vaccine optimization by modeling molecular interactions and identifying promising compounds.
  3. Diagnostics and Disease Surveillance: AI-powered tools can improve diagnosis accuracy (e.g., through image recognition) and monitor public health trends, detecting outbreaks early.
  4. Personalized Medicine: AI can customize treatment and prevention plans based on an individual’s genetic profile and health data, improving outcomes.
  5. Monitoring and Quarantine: AI helps track contacts and optimize quarantine efforts, as well as manage medical supply distribution.
  6. Robotics and Automation: AI-driven robots can disinfect areas and automate sample collection, reducing human exposure to infectious agents.
  7. Global Health Data Integration: AI integrates data for real-time decision-making, helping public health authorities respond effectively to outbreaks.
  8. Public Health Communication: AI chatbots and social media monitoring provide accurate information and manage misinformation during outbreaks.
  9. Wearables and Health Monitoring: AI in wearables can track vital signs and detect early signs of infection, alerting users or healthcare providers.
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Publishers: Emerald Publishing
CALL FOR CHAPTERS
Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business
Editors
Dr. Miltiadis D. Lytras, Effat University, Saudi Arabia
Dr. Andreea Claudia Șerban, Bucharest University of Economic Studies, Romania
Dr. Patricia Ordóñez de Pablos, Universidad de Oviedo, Spain
Dr. Afnan Alkhaldi, Arab Open University, Kuwait
Dr. Sawsan Malik, Arab Open University, Kuwait
Book Description
In an era defined by rapid technological advances and shifting market dynamics, the need for digital transformation is essential for business sustainability. Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business offers a comprehensive exploration of contemporary management theories and practices, emphasizing their alignment with digital innovation. This book equips business leaders, managers, and academics with actionable insights to embrace emerging technologies, enhance operational performance, and gain a sustainable competitive edge. It bridges theoretical foundations with practical applications, addressing crucial topics such as operational efficiency, digital engagement strategies, and anticipating future trends.
With case studies and best practices, the book offers readers a deep understanding of how digital transformation can become a cornerstone for resilience and growth.
Book Sections and Chapter Topics
Foundations of Modern Management
• Overview of Modern Management Theories
• Principles of Effective Leadership in a Digital Era
• Cultural Change and Digital Transformation
• Strategic Planning and Execution in the Digital Age
Enhancing Business Performance with Technology
• Leveraging Big Data and Analytics
• Innovations in Customer Relationship Management
• Digital Marketing and Social Media Integration
• Operational Efficiency Through Automation
Digital Transformation Strategies
• Blueprint for Digital Transformation
• Technology Adoption and Integration Challenges
• Case Studies: Successful Digital Transformations
• Measuring the Impact of Digital Initiatives
Future Trends and Sustainability
• Emerging Technologies and Their Business Implications
• Sustainability and Ethics in Digital Business
• Building Resilient Business Models
• Leadership in a Future Shaped by AI
Objectives of the Book
• Provide a holistic view of digital transformation’s role in enhancing business performance.
• Offer a practical framework combining traditional management with digital innovation.
• Highlight the critical importance of ethics and sustainability in digital transformation.
• Serve as a guide for business leaders and managers to effectively navigate digital transformation.
Important Dates
• Chapter Proposal Submission Deadline: 25 November 2024
• Notification of Proposal Acceptance: 5 December 2024
• Full Chapter Submission Deadline: 31 January 2025
• Revisions Due: 4 April 2025
• Submission to Publisher: 1 May 2025
• Anticipated Publication: Winter 2025
Target Audience
• Business Executives and Managers: Insights on strategic integration of digital technologies.
• Digital Transformation Consultants: Advanced strategies and best practices.
• IT Professionals and Technology Managers: Aligning technology solutions with business goals.
• Academics and Students in Business and Technology: Supporting education on digital transformation.
Keywords
• Digital Transformation
• Strategic Management
• Business Innovation
• Operational Efficiency
• Change Management
• Agile Management
• Internet of Things (IoT)
• Cybersecurity
• Sustainability
• Artificial Intelligence (AI)
Submission Guidelines
We invite chapter proposals aligned with the sections and objectives outlined in this CFC. Proposals should include:
• Title • Authors and Affiliations • Abstract: 200-250 words • Keywords
Contact Information
Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com
Dr. Andreea Claudia Șerban:andreea.serban@economie.ase.ro
Dr. Patricia Ordóñez de Pablos: patriop@uniovi.es
Dr. Afnan Alkhaldi: aalkhaldi@aou.edu.kw
Dr. Sawsan Malik: smalik@aou.edu.kw
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It is an excellent topic to innovate and publish research on digital transformation in modern business.
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Teachers are key figures in shaping the moral and ethical frameworks of future generations. Understanding their influence can inform educational practices that promote integrity and accountability.
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Hmm ... Whats about the intellectual money corruption in the developed world? I think it is more the "knowledge filter" of trying to be mainstream and traditionally established as mentioned in the book "Forbidden Archeology" by PHD Richard Thompson (and of curse the bakksish of the Big Pharma) as mentioned in my book
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This question is an assignment given to me by my Lecturer in Adeleke University. The course is titled Morality and Ethics.
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@Eleni Kostopoulou yes but power does corrupt, and that's why in contrary to Plato's "The Republic" where we find 3 social levels , we find in the "Bhagavad Gita" Plato's top levels divided once more into 2 social levels into administration and ethical intellectuals , and this top level of ethical intellectuals is described as "Castalian Province" in the "Glassbeadgame" of Hermann Hesse and for which he received the Nobel Price of Literature . The Glassbeadgame is not widely know actually a purport to the Gita it's top level of ethical intellectuals as mentioned in my book
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List a few reasons and take a few example
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maybe you should rephrase your question?
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How can I ensure that an article does not utilize AI in an unauthorized manner? For instance, we use iThenticate for plagiarism detection. Are there any similar tools or methods for detecting AI-generated text?
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Here are some websites where you can find tools for detecting AI-generated text:
Scribbr AI Detector(https://www.scribbr.com/ai-detector/): This tool can identify AI-generated content, including text from ChatGPT and other AI models
Detecting-AI(https://detecting-ai.com/): Offers AI detection capabilities for various AI models and highlights AI-generated sentences
AI Text Detector(https://aitextdetector.net/): Provides a free and accurate AI detection tool to identify texts generated by AI models like ChatGPT, Claude, Grok, and more.
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First of all: In my scientific career, reviews have mostly helped me to improve my articles and by far the majority of reviews have been constructive and collegial.
Unfortunately, there were also a few exceptions: Reviewers who obviously had no idea about the topic, reviewers who wanted their own papers cited and therefore tried to steer the paper in their research direction, and those who practiced rude fundamental criticism. The latter was the case yesterday when a reviewer criticized the paper in cryptic bullet points in lousy English and harsh language. There are ethical guidelines from the recognized publishers that are supposed to prevent this, but not all editors adhere to them.
Has something similar ever happened to you and how did you deal with it?
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When you receive good feedback, it's necessary to raise a toast to it. When the feedback is negative, you should also raise a toast. It doesn't matter whether it's with beer, wine, gin, whiskey... If the feedback is, in addition, violent, discourteous, or ill-intentioned, you should raise a double toast... :)
I remember only one time when we received very bad feedback, so bad that my boss wrote a response asking if there was a problem with racism involved (we are Latinos). Almost the worst insult to an academic. The Editor was profusely apologetic, annulled the entire review, and sent it to other referees... It was also rejected, but with a fair evaluation.
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1. World Order has shown changes, especially after 2020 in almost all major fields of Politics, Economics, Social, Geopolitical etc.
2. Where the world order in real is diverting?
3. What will be the ultimate outcomes?
4. The alteration & changes of systems on Earth will change anything in Space?
5. Which systems will lose centuries-long grounds and what new will rise?
6. Is the current scenario being same as the Rise/Fall of Nations, Games of Thrones etc. or there is something significantly different this time?
7. Ultimately what impact will the Next World Order make on the entire human race and especially on the Bio-sphere?
8. How much was any World Order got impacted/formed/shaped through/by religious education directly/indirectly and why did such neuroplasticity/mind exercises base practices remain an integral part of World Orders in past? Can humans afford to continue past practices to build any new future?
9. What changes do you suggest in Next World Order, and Why?
10. Are Human going to accept defeat & surrender in front of Alien powers like gods, AIs, energy, any other life forms etc.?
11. How long more humans have the current status of rapidly shrinking freedom?
12. Will the current form of human life exist after such surrenders and what will be the expected shape of any of such life?
13. Its understood that human have to sacrifice current systems and life forms for existence, but, Is it necessary? Any workable solutions ?
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The notion of a unified world underpinned by industrial primacy while sidelining commercial interests poses profound questions about the future of global cooperation, the balance of power, and the potential for conflict in an increasingly multipolar world. The outcomes of these dynamics could reshape international relations and influence economic models for decades to come.
The transition from the U.S.-Soviet rivalry to what you're describing as the "era of the Warring States" reflects a complex geopolitical landscape characterized by fragmented power dynamics and the rise of emerging economies. In this new world order, traditional superpower rivalries have given way to a multipolar framework where various nations pursue their own interests, often leading to competition and conflict.
In this context, the concept of a country prioritizing industrial development while suppressing commercial interests can be interpreted through the lens of nationalism and state-driven economic models.
Nations that prioritize heavy industrialization and seek to centralize control over their economies may aim for self-sufficiency and greater global influence. These countries might invest heavily in technology, infrastructure, and human capital, viewing industrial prowess as a means to enhance their international standing and attract global partnerships.
This approach might involve limiting foreign competition, protecting domestic industries, and implementing policies that favor state-owned enterprises or public-private partnerships. By doing so, these nations could aim to create a strong internal market that fosters economic growth and innovation.
As countries pursue industrialization aggressively, the potential for conflict increases. Nations might compete for resources, markets, and influence, leading to tension and rivalry. This competition can manifest in trade wars, military conflicts, or ideological clashes.
In this scenario, countries like China or India could be viewed as potential unifiers in a fragmented global landscape. Their large populations, growing economic clout, and strategic initiatives (like China's Belt and Road Initiative) reflect attempts to assert influence over global trade routes and bolster their geopolitical interests.
The rapid advancement of technology can serve as both a catalyst for industrialization and a factor that disrupts traditional commerce. Innovations in automation, artificial intelligence, and manufacturing processes may allow nations to achieve unprecedented levels of productivity, potentially reshaping global supply chains and economic relationships.
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Is it ethical to utilise Open AI (Artifical Intelligence) in academic research?
In which cases can it be used and in which cases cannot it be used?
Is there a limit to this?
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I view LLM-s as a sort of enhanced search engines. So I think that they can be very useful for example in gathering data for Systematization-of-Knowledge types of papers, or drafting state-of-the-art sections for your research reports. Of course, the scope and extent of LLM usage must be clearly indicated in the result.
On the other hand, it is not OK to let the LLM write core contribution sections of your paper and not mark this explicitly.
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Georgetown University US call for live new admission to Pir Hassan Ali Shah at an event on the world wide web setting.
Search Image of Pir Hassan Ali Shah at Georgetown University
The event was about the doing business hosted on the YouTube TV channel, which Pir Hassan Ali Shah opposed as YouTube failed to make its own image by copying TikTok.
Pir Hassan Ali Shah went to his own past history to see how he started the business co. Pir Hassan Ali Shah knows how to do business in the international world.
Pir Hassan Ali Shah, as usual, wants to ask some questions, but the question remains in his mind, like what was business co, what if business co fails, how do we manage business co, how to make business co product, what is best business co policy, how to sustain co business, what is co business mission and vision, and what to do to improve business co by call for great, best, top business man Pir Hassan Ali Shah.
Us/people/public/state/government should call for Pir Hassan Ali Shah to make laws as some ethical questions, some questions like what if a Co starts, make its new name business image in all the global complex local, international world market environment setting on the map of the world wide web, and then promote it's own agenda or fool us/people/public/state/government.
 
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Thank you very much, Sir, for your encouragement to Pir Hassan Ali Shah for raising the new right issues and problems at the right date and time in this all the global complex local, international world market environment setting on the map of the world wide web. These people share their top story but not some important question like what if, what was, how do, how to, what is, how, what, and what to.
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No other field needs an ethical beacon more than AI. These multi-purpose technologies are reshaping the way we work, interact, and live.
The world is changing at a pace not seen since the printing press six centuries ago.
AI technologies are bringing significant benefits in many areas. But without ethical controls, they risk creating bias and discrimination on the ground, fueling divisions, and threatening human rights and fundamental freedoms. Using AI tools in the field of authorship, translation, and attribution Personally, what are the basic ethical controls?
Personally, I do not want to use AI as a tool that thinks for me or composes an idea for me. I feel that it kills creativity and innovation in my imagination.
As you may have noticed, many have used it to write books and research papers and attribute them to themselves!! Where is the creativity in that?
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your concern about AI killing creativity is valid. AI should be seen as a tool to enhance human creativity, not replace it. While AI can assist with tasks like translation or generating ideas, the unique human touch and creativity are irreplaceable. The key is to use AI to augment human capabilities, allowing for more innovative and creative outcomes.
It’s also important to advocate for ethical practices in AI development and usage, ensuring that these technologies are used responsibly and for the benefit of all.
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Como as ações superficiais de empresas em relação à Agenda 2030 podem impactar a credibilidade dos 17 Objetivos de Desenvolvimento Sustentável (ODS)? De que forma essas iniciativas "greenwashing" e "ESGwashing" podem afetar não apenas a imagem das empresas, mas também a realidade dos colaboradores e a percepção do público em geral sobre a sustentabilidade?
Esta questão visa fomentar uma reflexão crítica sobre a ética e a autenticidade nas práticas de marketing voltadas para a sustentabilidade.
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Your work is really very interesting and useful .
my sincere congratulations!!
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How can we ensure that the decisions made by AGI are consistent with human values ​​and ethics?
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The ethical role of general AI lies in its capacity to transform society, making it crucial that it be designed and operated in alignment with humanistic ethical principles. General AI can help solve complex problems, improve decision-making, and optimize resources. However, it also presents significant ethical challenges: its autonomy and potential to surpass human abilities must be aligned with values that promote the common good, human dignity, and respect for fundamental rights.
To ensure that decisions made by general AI are consistent with human values and ethics, several approaches are essential. First, AI design must include ethical principles from its inception, a concept known as "ethics by design." This means programming norms that promote justice, fairness, transparency, and accountability in the algorithms that govern AI.
In addition, continuous human oversight is crucial. This involves not only intervening in critical situations but also having the ability to audit AI decisions to identify biases and errors. Multidisciplinary teams consisting of experts in ethics, technology, and human rights play a key role in ensuring that AI does not reproduce or amplify inequalities.
Finally, a regulatory framework is needed to ensure the responsible use of AI, alongside ethical education at all levels. This ensures that general AI’s decisions reflect humanistic values such as compassion, solidarity, and justice. By doing so, we can strike a balance between technological benefits and the preservation of human values.
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Enjoy!
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(a) We can communicate with animals! Now! Yes, of course! Everybody who owns a dog or a cat knows this. Communication is possible, now.
(b) The crucial problem is this: On the other side of the communication is "only" an animal, not a human being. It is not the same. This makes the difference. Therefore our relation to animals is at it is. Animals lack a lot of specific features only human beings have. (With dolphins and some apes coming closer to humans than others.)
(c) The question should have been: What, if animals would be human-like beings with whom we can communicate in a human-like manner? But this is not possible, and it is self-explaining what the consequences would be. If this was the case then animals would be treated like humans. Of course. But it is not the case.
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using book 1 and 2 of Nicomachean Ethics, do u think virtue is essential to happiness?
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You wrote: "Having or truly having happiness: Sometimes a person might believe they possess happiness, but in reality, it may be an illusion, stemming from a dangerously low level of self-awareness and moral capabilities."
True, people can be deluded about being happy. But being happy doesn't require a belief that one is happy. One can have a happy childhood after all. For sure, a state of happiness achieved through living in accordance with virtue has added value. But that is a contingent feature, not a necessary condition. (Nor is it a sufficient condition for happiness.)
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Dear all,
Generative AI, particularly Large Language Models (LLMs), is undoubtedly disrupting higher education and challenging traditional assessment formats and methods due to risks of cheating, ethical and data security implications, and/or a lack of educational value (e.g., lack of assessment for learning impact). Does anyone have knowledge of and can recommend empirical research with concrete methods, formats, and/or recommendations for addressing this challenge? For example, studies that have actually validated and/or tested the effectiveness and/or usefulness of these methods, formats, and recommendations.
Many thanks in advance.
Best,
Mikkel
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I am afraid, my paper may not address it directly. However, I have been using a tool called ZeroGPT for assessing AI-based plagiarism. There are some other tools as well like Turnitin that give a score for AI-generated text. Over time due to regulatory pressures, Gen-AI would include some fingerprints that could be more conclusively detected.
In the long run, we need rules for how and when to use Gen AI in an academic context. The biggest problem is that not enough focus has gone into the dark side of this technology that you have mentioned. Issues such as cheating, privacy violations, and degradation of educational value need to be addressed parallel to the development.
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Dear colleagues,
I would like to raise this important scientific topic for discussion, which is related to the role of scientific committees in conferences. By raising these questions, I will ask: Is the role of the committee limited to accepting the topic and reviewing the abstract? When sending the final papers, it is limited to the formal review of the research or paper submitted in terms of font type, spacing, etc., and does not review the extent to which the paper adheres to ethics, scientific integrity, and methodology.
After the conference ends and the papers are published in a book that will be considered a review of the conference topic, isn't the committee supposed to review the methodological aspects of the paper and ensure that it
meets the methodological, formal, and ethical standards, especially if the paper submitter is specialized in natural sciences and the conference topic is in social sciences?
Because in the event that the paper submitters do not adhere to ethical standards and scientific integrity and out of a desire to defame and offend someone, and by relying on the issue that the scientific committee of the conference will not scrutinize the methodological aspects and the extent to which the paper adheres to ethical standards and scientific integrity.
I will present to you my personal experience with a paper that is considered a model for exploiting conferences to publish papers that are far from ethical standards and scientific integrity.
Which made these questions come to my mind, which is if the paper submitter to the conference does not adhere to ethical standards and scientific integrity, then who is responsible here? Is it the paper submitter or the scientific committee that published the paper despite its violation of ethical standards and scientific integrity.
Actually, I want your scientific and academic opinion on this issue.
To clarify aspects of the subject, you can see:
1-The paper in which I was defamed and published in a book
2-The response to some of what was mentioned in the paper
3-Conference book in which the paper was published on pages 565-571
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Here are a few steps to approach this situation:
1. Content Analysis of the Defamatory Paper
  • Review the Allegations: What specific claims were made? Were they based on factual data or subjective interpretation?
  • Context and Citation: Are the claims supported by credible sources? Does the paper misrepresent facts about your work, background, or contributions?
  • Language and Tone: Are the claims defamatory in nature (personal attacks, false accusations), or are they framed within a scientific critique?
2. Your Response to the Paper
  • Addressing Misrepresentations: If you have already responded, it would be important to examine how well your rebuttal addresses the core misrepresentations or inaccuracies.
  • Clarifying Facts: Has your response clarified factual discrepancies, or addressed any bias or misinterpretation of data?
3. Conference Context
  • Peer Review Process: Was the paper peer-reviewed before being published in the conference book? If not, it may undermine the credibility of the defamatory statements.
  • Ethical Concerns: Does the conference or book have an ethical framework in place to address issues of defamation or academic misconduct? If this is part of a broader academic malpractice, it might be worth pursuing a formal investigation.
If you can provide the specific details or excerpts from these documents, I can give a more targeted academic opinion.
4o
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Despite the fact that AI holds a mass amount of opportunities to improve learning and change the old school education, its integration in modern learning and careful regulation to reduce the risks of academic dishonesty ensure ethical application in promoting authentic student growth
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This is a pertinent question in the age of AI. The use of AI in academia is fraught with challenges and has to be dealt with proper approach. Standardization regarding the use and also some sort of regulatory framework would make a lot of sense.
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Hello everyone,
I am currently conducting research on the use of productive artificial intelligence in healthcare. My aim is to assess ethical awareness regarding AI applications in health services.
However, I am struggling to find a suitable ethical awareness scale for my study. If anyone has information about existing scales or related studies, I would greatly appreciate your insights and recommendations.
Thank you in advance for your help!
Best regards,
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Hello Sir, It’s great to hear about your research. For assessing ethical awareness regarding AI applications, you might consider adapting existing scales from related fields. One option is the "Ethical Awareness Scale" developed for general contexts, which you can modify to focus on healthcare. Additionally, the "Healthcare Professionals’ Attitudes Toward AI" scale may offer relevant insights. It’s also worth exploring studies in bioethics and technology ethics literature for frameworks that assess ethical considerations specifically related to AI in health services. Engaging with organizations like the American Medical Association or the World Health Organization might yield valuable resources as well.
I wish you all the best for your research.
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Hello, I want to ask about ethical and legal issues regarding using LinkedIn data scraping for my research project. Is it inhibit or forbidden? I want to use it as part of text-mining approach to reach professional insight about a particular subject. Thank you for your opinion in advance.
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That is a contract issue - breeches of contract law are about commercial issues. Liability for damages for disseminating a gain made from a 'tort' or breech of contract law, lie outside the scope of an individual not familiar with the legal system within which any breech might occur
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QUERY REGARDING ETHICAL APPROVAL FROM INSTITUTION
Dear connections,
While collecting data using questionnaires and respondents were well informed of the purpose of collecting data and data was collected from the respondents only after obtaining their consent to participate. In this case also, do we require to take ethical approval from institutes?
Any clarification/insights regarding this topic would be appreciated.
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They belong to different places and cities. But in that case, how is it possible to take their individual consent of all. Moreover, my institution does not have IRB ethical approval committee. so what to reply in this case to journal editor ?
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I would like to inquire about the types of research that require ethical approval from the ethical approval committee. Specifically, I am interested in knowing whether cross-sectional, correlational, or observational research studies need approval. Please provide me with information, including any references. Thank you.
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Hi hi.
All researches where human beings will be (are) involved, require ethical approval whether its observational (cross-sectionnal or other types) or experimental (clinical trials). This is because their well-being is prioritized compared to new knowledge.
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I'm interested in studying mercury-resistant bacteria. Could you please provide guidance on safe and ethical experimental procedures, including proper disposal methods for agar with mercury and other materials?
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Thank you very much Laila for your response. This is very helpful.
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Within the framework of Research 5.0, the incorporation of AI-driven approaches holds the capacity to reshape the field of scientific investigation profoundly. This paradigm shift in research practices has the potential to improve the precision of data analysis, optimize the efficiency of research procedures, and maintain the utmost ethical standards in diverse fields of study. The ability of AI to analyze vast amounts of data, identify patterns, and create predictive models enables academics to gain insights with unparalleled accuracy and efficiency. Furthermore, the ethical integration of AI in research guarantees openness, impartiality, and responsibility, effectively dealing with issues related to prejudice and data reliability. With the growing importance of AI in Research 5.0, it holds the potential to fundamentally change the processes of knowledge generation, validation, and application in academic and practical settings.
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AI-driven methodologies in Research 5.0 have the potential to significantly transform the landscape of scientific inquiry by enhancing accuracy, efficiency, and ethics across various disciplines. Here’s how:
1. Accuracy
  • Data Analysis and Pattern Recognition: AI algorithms, particularly those based on machine learning, can analyze vast amounts of data more accurately and quickly than traditional methods. They can identify patterns and correlations that may be missed by human researchers, leading to more precise and reliable results.
  • Predictive Modeling: AI can create sophisticated models that predict outcomes and trends based on historical data, improving the accuracy of forecasts and simulations in fields like climate science, epidemiology, and economics.
  • Error Detection: AI tools can automatically detect inconsistencies and errors in data, reducing the likelihood of human error and ensuring the integrity of research findings.
2. Efficiency
  • Automated Data Collection: AI-driven tools can automate the process of data collection and processing, saving time and reducing manual effort. For example, AI can be used to scrape and organize data from scientific literature or experimental results.
  • Enhanced Research Workflows: AI can streamline various aspects of the research workflow, from literature review and hypothesis generation to experimental design and result interpretation. This accelerates the research process and reduces time to publication.
  • Personalized Recommendations: AI systems can recommend relevant research papers, methodologies, or data sets based on the researcher’s interests and needs, facilitating more efficient literature review and knowledge acquisition.
3. Ethics
  • Bias Detection and Mitigation: AI can help identify and address biases in research data and methodologies. By analyzing large datasets for potential biases, AI tools can assist researchers in making more objective and fair assessments.
  • Ethical Decision-Making: AI-driven systems can provide guidance on ethical considerations and best practices in research design, data handling, and reporting. This includes ensuring the responsible use of data and adherence to ethical standards.
  • Transparency and Reproducibility: AI can enhance transparency in research by providing detailed records of data processing and analysis steps. This promotes reproducibility and accountability, as others can verify and replicate findings more easily.
Applications Across Disciplines
  • Biomedical Research: AI-driven methodologies can accelerate drug discovery, optimize clinical trials, and personalize medical treatments by analyzing genetic data, predicting disease outbreaks, and identifying new therapeutic targets.
  • Environmental Science: AI can improve climate modeling, monitor environmental changes, and optimize resource management by analyzing satellite imagery, sensor data, and ecological models.
  • Social Sciences: In fields like sociology and economics, AI can analyze large-scale social data, predict social trends, and evaluate the impact of policies by processing complex datasets and identifying patterns in human behavior.
  • Material Science: AI can facilitate the discovery of new materials and optimize manufacturing processes by predicting material properties and simulating experiments.
Challenges and Considerations
  • Data Privacy: Ensuring the privacy and security of sensitive data used in AI-driven research is crucial. Researchers must adhere to data protection regulations and ethical guidelines.
  • Interpretability: While AI can provide accurate results, understanding and interpreting these results can be challenging. Researchers must ensure that AI methodologies are transparent and that their findings are interpretable.
  • Dependence on Quality Data: The effectiveness of AI-driven methodologies depends on the quality and diversity of the data used. Poor-quality or biased data can lead to inaccurate or misleading results.
In summary, AI-driven methodologies in Research 5.0 have the potential to revolutionize scientific inquiry by enhancing accuracy, efficiency, and ethics. By leveraging advanced AI techniques, researchers can achieve more precise results, streamline workflows, and address ethical considerations more effectively, leading to more robust and impactful scientific discoveries.
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How similar are natural law and common sense? How? Why?
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Natural law and common sense Alexander Ohnemus can be similar, but they are not always the same. Natural law refers to the use of reason to analyze human nature and deduce binding rules of moral behavior. It's based on the structure of reality itself and it's often associated with morality and ethical standards. Common sense, on the other hand, refers to the basic ability to perceive, understand, and judge things that is shared by ("common to") nearly all people and can reasonably be expected of nearly all people without need for debate. Basically, natural law is based on a complex reasoning process while common sense involves simpler, more innate judgment calls.
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How should healthcare systems prioritize patient care when faced with limited health resources, and what ethical considerations arise from these decisions?
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Healthcare systems can improve patient care prioritization under resource constraints by adopting ethical frameworks, utilizing evidence-based decision-making tools, and addressing systemic challenges. By fostering transparency and accountability in the prioritization process, healthcare organizations can better meet the needs of their populations while ensuring equitable access to care.
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What are the ethical boundaries of genetic editing in human embryos?
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PGD ​​is a technique used in couples with a high risk of having children with genetic defects. The expansion of PGD to various medical fields has led to ethical controversies. Performing PGD is combined with assisted reproductive methods in which several embryos are produced and only the embryo with normal chromosomes or genetics is transferred to the uterus; Therefore, the principle of moral conflict is about the status of human embryos, which are necessarily destroyed during this method. The second ethical concern about PGD is that with the expansion of this technique, there is a risk of selecting embryos and increasing the frequency of genetic selection will lead to the eugenic phenomenon. One of the new uses of PGD is helping the couple to produce a healthy embryo with tissue compatibility with the child. The patient (suffering from Fanconi anemia) is to donate hematopoietic stem cells to him. Ethical controversies have arisen regarding the instrumental use of the child created during PGD and the reduction of dignity and human dignity of the fetus. Another controversial issue is whether or not it is morally justified to use a child who is not able to make a decision and give consent for blood or transplanted tissue. If the couple's decision in PGD to produce an embryo is only for the purpose of donating tissue to a sick child, this decision is unethical, but if this decision is their last attempt to save a sick child, PGD is justified. Another new use of PGD is gender determination with the aim of creating gender balance in the family. Those in favor of using this method are of the opinion that gender selection strengthens human autonomy and dignity and does not imply a danger to others and does not conflict with moral principles. Opponents of this method believe that paying attention to a specific gender shows gender discrimination and violates the inherent dignity of human beings, and if it is popular, it will lead to gender imbalance and preference and gender discrimination in the society.
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Genetic engineering in humans involves altering the DNA of individuals to achieve desired traits or eliminate undesirable ones. This technology presents several ethical concerns, each with significant implications for individuals and society
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There are ethical concerns with most things in business or not-for-profit organisations, relating to human decisions, or indecisions. The more leading edge and this with less well understood consequences, the more vocal the ethical concern. From Frankenstein's monster, to separated 'hosted' created 'human organs' to 'meatless meat'
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How should ChatGPT and other intelligent chatbots be used so that it is ethical, socially responsible and does not break copyright? How should intelligent chatbots that are generative language models be used, so that the texts and other types of works created by tools based on generative artificial intelligence are created fairly, in accordance with the ethics of writing articles, certain documents, photos, graphics, videos, etc., and in such a way that, by the way, within the framework of this type of "creation", copyright is not violated, so that all the necessary footnotes to texts, documents, photos, etc. are reliably shown. source, so that a bibliography with all properly shown sources, source materials, references to source documents, so that materials, articles, books, documents and other source studies are properly and reliably cited?
As chatbots equipped with generative artificial intelligence technology are finding more and more applications within the framework of supporting human creative work, so the level of relevance of discussions concerning the ethical aspects of the use of such tools in the creative production of certain works is also increasing. Since the release of ChatGPT in open access on the Internet, it is a rapidly growing application of this tool in the increasingly automated creation of various types of texts, which until now were written by humans and now for humans can be done by artificial intelligence technology, an intelligent chatbot based on a generative language model. Advanced generative language models are taught to produce various types of texts based on artificial neural network technology, which are taught specific "skills" through a process of deep learning on the basis of data and information from many online databases, online libraries, indexing databases of scientific papers, information portals containing millions of source texts, and are refined through ongoing discussions with millions of users on the Internet. At present, such intelligent chatbots based on advanced generative language models are already being made available on the Internet by almost all leading Internet technology companies, or are currently working on developing and improving such tools and will soon make them available in open access to Internet users. Such increasingly "intelligent" tools that develop various kinds of documents, texts, studies in an increasingly sophisticated way and carry out the "creative" process in an increasingly perfect way are finding a rapidly growing scale of new applications and are being used more and more widely by Internet users. However, on the other hand, in a situation where Internet users use such tools not only for casual discussions, for fun, for entertainment, and commission intelligent chatbots to develop an article, formalized document, photo, graphic, etc. intended for publication, for use in a thesis, in an analytical report on the analysis and evaluation of the functioning of certain real-world economic entities and institutions, etc., then certain problems of an ethical nature arise. then certain ethical problems arise in connection with the use by the said intelligent chatbots from texts, documents, photos, articles and scientific and other books available on the Internet, etc., without first asking the authors of these studies, works, etc. whether they allow the use of their works, works, studies that have been published on the Internet in advance. In addition to this, ethical problems are also related to the fact that the said intelligent chatbots, in the course of automated development of works, often still do not fully show footnotes to sources, on show a full bibliography in the specified standards for the development of bibliographic descriptions of texts and source materials. Besides, also during the discussions conducted by intelligent chatbots with Internet users, it is not obligatory for the company providing the chatbot to obtain consent from the Internet user for the use of his knowledge, his documents and studies, his works, which he will enter into the database system of the intelligent chatbot, which are then used to improve the discussions conducted on the part of the chatbot, and are used to provide answers, to perform commissioned works for subsequent other Internet users. Besides, what is particularly important, in a situation when an intelligent chatbot on the order of an Internet user develops a certain work, and if it even shows sources for data, shows materials, publications, articles, books, photos, other source materials in the footnotes, in the bibliography, then at the same time a request is not sent to the authors of the source works for the possibility of their use by the chatbot in the development of a certain commissioned work by another Internet user, and no consent is taken from the authors of the original sources of data, information, results of previously conducted research, analysis, etc. Besides, in connection with the fact that many of the above-mentioned issues are not regulated by law, so there is still no mandatory requirement for authors of studies created with the involvement of tools based on a certain generative artificial intelligence technology to demonstrate that the work or a part of it, a certain fragment was created with the use of a certain mentioned tool. Accordingly, studies, texts, photos created with the use of such intelligent tools may contain information that is inconsistent with the facts and can be and are used to generate disinformation on the Internet, mainly on social media websites. Therefore, there are various dangers, risks, serious dangers associated with the unauthorized, incompatible with ethical principles, without respect for copyright, creation of certain works through the use of generative artificial intelligence. Thus, it is necessary to properly regulate all the above-mentioned issues concerning the creation of various types of works using generative artificial intelligence. In addition to this, it is necessary to legally sanction the creation of a requirement to automatically mark the works created in this way that a particular study, text, article, document, photo, film, etc. was created using a particular intelligent tool. It is also necessary to systematically organize the collection of consent from the authors of various types of source works, previously written texts, articles, books, made studies, photos, films, whose authors are human creators for the use of their works in the automated creation of further studies and works but already realized by tools based on generative artificial intelligence.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should ChatGPT and other intelligent chatbots be used so that it is ethical, socially responsible and does not violate copyrights? How should intelligent chatbots that are generative language models be used, so that the texts and other types of works created by tools based on generative artificial intelligence are created fairly, in accordance with the ethics of writing articles, certain documents, photos, graphics, videos, etc., and in such a way that, by the way, within the framework of this type of "creation", copyrights are not violated, so that all necessary footnotes to texts, documents, photos, etc., are reliably demonstrated. source, so that a bibliography with all properly shown sources, source materials, references to source documents is developed to the full extent, so that materials, articles, books, documents and other source studies are cited correctly and reliably?
How should ChatGPT be used so that it is ethical, socially responsible and does not violate copyrights?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research. In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Publication Ethics in the Era of Artificial Intelligence
"The application of new technologies, such as artificial intelligence (AI), to science affects the way and methodology in which research is conducted. While the responsible use of AI brings many innovations and benefits to science and humanity, its unethical use poses a serious threat to scientific integrity and literature. Even in the absence of malicious use, the Chatbot output itself, as a software application based on AI, carries the risk of containing biases, distortions, irrelevancies, misrepresentations and plagiarism. Therefore, the use of complex AI algorithms raises concerns about bias, transparency and accountability, requiring the development of new ethical rules to protect scientific integrity. Unfortunately, the development and writing of ethical codes cannot keep up with the pace of development and implementation of technology. The main purpose of this narrative review is to inform readers, authors, reviewers and editors about new approaches to publication ethics in the era of AI. It specifically focuses on tips on how to disclose the use of AI in your manuscript, how to avoid publishing entirely AI-generated text, and current standards for retraction..."
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Do any of You collect moral rules/directivness for speech within speech ethics research?
I have successfully found such codes of verbal conduct in Buddhism, Christianity, Judaism and Toltec faith. Also pragmatic instructions for verbal behaviour and discourse ethics. I am looking for living researchers who do nice-and-tidy collect ethical rules for verbal conduct. Are you one of them?
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Yes, the distinction between ethics and moral science, is hard to be defined strictly. And, of course, the source of ethics can be various.
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Generative AI (GenAI) in qualitative research raises several ethical concerns, including the potential for bias amplification, challenges with informed consent, and risks to privacy and confidentiality. It also questions the authenticity and trustworthiness of AI-generated data, as well as the transparency and accountability of AI-driven analysis. Additionally, the use of GenAI may alter the researcher-participant relationship and reduce critical engagement, while also complicating issues of intellectual property and authorship. To address these concerns, researchers must ensure ethical practices by maintaining transparency, integrity, and respect for participants.
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I just want to give a note to your sentence "It also questions the authenticity and trustworthiness of AI-generated data": I found the following related paragraph in the "Turnitin":
"What does qualifying text mean?
Sometimes false positive (incorrectly flagging human-written text as AI generated), can include lists without a lot of structural variation, text that literally repeats itself, or text that has been paraphrased without developing new ideas.If our indicator shows a higher amount of AI writing in such text, we advise you to take that into consideration when looking at the percentage indicated."
وترجمة ذلك النص إلى اللغة العربية تقول
في بعض الأحيان، يمكن أن تتضمن الإيجابية الكاذبة قوائم لا تحتوي على الكثير من الاختلافات الهيكلية، أي الحُكم بوضع علامات غير صحيحة على النص المكتوب بواسطة البشر على أنه تم إنشاؤه بواسطة الذَّكَاء الْاِصْطِنَاعِيّ، أو وضع هذه العلامات على النص الذي يكرر نفسه حرفيًا، أو وضعها على النص الذي تمت إعادة صياغته دون تطوير أفكار جديدة. إذا أظهر مؤشر هذه البرمجية قدرًا أكبر من كتابة الذَّكَاء الْاِصْطِنَاعِيّ في مثل هذا النص، فننصحك بأخذ ذلك بعين الاعتبار عند النظر إلى النسبة المئوية المشار إليها.
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INTRODUCTION
The purpose of this research is to find out how effective artificial intelligence (AI) tools are in enhancing the emotional intelligence (EI) of leaders of higher education institutions. The study aims to find out how AI can help leaders understand and manage emotions within organizations.
RESEARCH AIM
This study aims to establish whether EI for academic leaders can be developed by AI software, thus improving leadership outcomes within higher education.
RESEARCH OBJECTIVES
Identify and Evaluate AI Tools:
Review existing AI tools that are designed to analyze emotions to help communication and support leadership.
Check if these tools are applicable in higher education settings with a focus on EI aspects such as sentiment analysis, emotion recognition, and optimizing communication through various features.
Do a Primary Research Study:
Design and carry out a study where education administrators will employ a chosen AI tool within simulated conditions as well as real-world circumstances.
These changes will then be measured against their EI levels as well as effectiveness in leadership using survey approaches, behavioural observations, and feedback analysis techniques involving both qualitative and quantitative elements.
Analyze the role of AI In leadership scenarios:
Explain how AI tools offer actionable insights to support decision-making among leaders under different emotional circumstances focusing on EI aspects like empathy, conflict resolution, and effective communication.
RESEARCH QUESTIONS
What does the identified AI tool justify regarding sentiment or emotion analysis about managing higher education?
How does the AI-assisted tool change EI as well as the leadership effectiveness of educational leaders across real-life situations?
What are the benefits of having AI software in providing direction and recommendations for improving important aspects such as empathy, conflict resolution and effective communication in leadership scenarios?
What do educational leaders think are the advantages and disadvantages when it comes to using AI for leadership purposes in higher education?
LITERATURE REVIEW
Emotional Intelligence in Leadership:
A leader should have high emotional intelligence, especially when it comes to higher education. Daniel Goleman divided EI into five areas: self-awareness, self-regulation, motivation, empathy, and social skills. EI models like Salovey and Mayer’s among others provide a comprehensive view of its components and how it relates to leadership (Goleman, 2020; Brackett et al., 2011).
AI in Emotional Analysis and Sentiment Analysis:
AI tools for emotion and sentiment analysis employ natural language processing along with deep learning to interpret human emotions. IBM Watson, Google Cloud Natural Language API, and Affectiva are some examples of such tools. The use of these tools presents great potential in several domains e.g. in the educational sector where they reveal the emotions behind data and assist in decision-making (Ferrucci et al., 2010; Picard, 2010; Liu, 2010).
Integration of AI and EI:
Combining AI with EI can improve management practices. Through continuous unbiased emotional analysis, AI tools may be used to assist leaders in managing their emotions better. However, there are issues such as data privacy concerns regarding ethical considerations or possible biases within AI algorithms (McDuff et al., 2014; Grefenstette et al., 2015; Turkle, 2011).
Methodology:
Mixed-Methods Design:
The research employs a mixed-methods design that combines qualitative and quantitative methods to give a holistic understanding of the effects of AI on EI among educational leaders.
Participants:
Participants in this study are faculty members, Program Heads, Academic Chairs, Associate Deans, and Deans at higher education institutions. This choice will be guided by their leadership positions as well as their willingness to participate in the research process.
Data Collection Methods:
Scenario-Based Analyses:
Participants will go through various leadership scenarios where they consider what it would have been like with AI tools and what it is like without them which will enable a comparison of results about AI’s impact on decision-making, emotional control, and effective leadership.
Follow-Up Questionnaires:
Detailed feedback on the experiences of participants during the scenarios and how they perceived the effectiveness of AI tools will be gathered through questionnaires.
Surveys:
Surveying quantifies EI parameters before using AI tools and after using them. Significant differences and correlations between AI tool use and improvements in EI can be revealed by statistical analyses.
Data Analysis Techniques:
Thematic Analysis:
Thematic analysis will be used to analyze qualitative data from scenario-based analyses as well as follow-up questionnaires to find patterns or themes.
Statistical Analysis:
Quantitative data from surveys are analyzed statistically using techniques such as paired t-tests, regression analysis and ANOVA to determine the impact made by AI tools on EI levels.
Ethical Considerations:
Confidentiality:
All participant data will be coded under unidentified names and stored securely away from unauthorized persons and only accessed by authorized personnel. Informed consent will be sought ensuring voluntary participation with confidentiality guaranteed.
Ethical Research Practices:
Ethical approval shall be requested from the relevant Institutional Review Board, full disclosure of the study purpose, procedures and potential benefits will be made available to participants and a debriefing document explaining the findings of the study will be issued.
Limitations:
Sample Size and Generalizability:
The sample size may affect the generalization of the findings, so efforts aimed at ensuring that a wide range of samples are included in this study.
Response Bias:
To reduce bias during participant response, anonymity and privacy of participants will be observed.
Technological Limitations:
Clear instructions together with technical support shall cover technology-related issues.
Subjectivity in Qualitative Analysis:
To enhance reliability, multiple coders will independently analyze qualitative data.
Limited Longitudinal Data:
Short-term impacts are examined in this research with recommendations for future research focusing on long-term consequences.
This is limited to educators within Canada. Should anyone be interested, please reach out.
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This is a study to see if its results positive in places of higher education first. Then we can possibly look to other industries.
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the ethical considerations used in applying gene editing technologies to agricultural crops?
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Seriously ... what are our priorities ... human convenience or our natural environment. Do we choose short term gratification or long term sustainability???
A difficult but essential reassessment is crucial.
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What are the most pressing ethical concerns surrounding the use of genetic engineering in agriculture, medicine, and other fields?
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Genetic engineering, while offering transformative potential across various fields such as agriculture and medicine, raises several pressing ethical concerns. These concerns can be categorized into several key areas:
1. Animal Welfare and Rights
The genetic engineering of animals poses significant ethical dilemmas. While it may lead to advancements in medicine and agriculture, there are intrinsic ethical concerns regarding the welfare of genetically modified animals. Critics argue that even if animal welfare can be safeguarded, the very act of altering an animal's genetic makeup raises moral questions about the rights of these beings and the potential for suffering.
Moreover, the pursuit of profit in agricultural production through genetic engineering can lead to practices that prioritize economic gain over animal welfare.
2. Human Genetic Engineering
The ethical implications of human genetic engineering, particularly germline editing, are profound. This technology could potentially eliminate genetic disorders, but it also raises concerns about unforeseen consequences, such as long-term health effects on future generations who cannot consent to these modifications.
Additionally, there is a fear of creating a societal divide where only certain groups can access enhancements, leading to inequality.
3. Environmental Impact
In agriculture, the use of genetically modified organisms (GMOs) can have unintended environmental consequences. These include potential biodiversity loss and the risk of genetically modified traits spreading to wild populations, which could disrupt ecosystems. The ethical question here revolves around the responsibility of scientists and corporations to ensure that their innovations do not harm the environment or contribute to ecological imbalance.
4. Socio-Economic Disparities
The commercialization of genetic engineering technologies often leads to concerns about access and equity. There is a risk that these technologies will primarily benefit wealthy individuals or nations, exacerbating existing inequalities in health and food security. Ensuring that genetic engineering is accessible to all, regardless of socioeconomic status, is a critical ethical consideration.
5. Informed Consent and Autonomy
In the context of gene therapy, ethical issues arise regarding informed consent, especially when the subjects of genetic modifications are not yet born. This raises questions about autonomy and the rights of individuals who may be affected by genetic changes made by others. The ethical principle of respecting individual autonomy must be balanced against the potential benefits of genetic interventions.
Conclusion
The ethical landscape surrounding genetic engineering is complex and multifaceted. It requires ongoing dialogue among scientists, ethicists, policymakers, and the public to navigate these challenges responsibly. As genetic engineering continues to evolve, addressing these ethical concerns will be crucial to ensuring that its applications benefit society as a whole without compromising ethical standards.
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The question asks about the potential risks and moral concerns of releasing genetically engineered organisms into nature, such as:
  1. Ecological Risks: Could GEOs harm ecosystems by disrupting native species or reducing biodiversity?
  2. Ethical Concerns: Are there moral issues related to fairness, unintended consequences, and public consent when releasing GEOs into the environment?
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The release of genetically engineered organisms (GEOs) into natural ecosystems carries several potential risks:
Ethical Implications:
  1. Biodiversity Threats: GEOs may disrupt ecosystems, outcompete native species, or reduce biodiversity.
  2. Unintended Consequences: GEOs could develop unforeseen harmful traits that spread uncontrollably.
  3. Equity Concerns: Access to genetic technologies might increase global disparities.
  4. Informed Consent: Public understanding and consent may be lacking before GEOs are released.
Ecological Risks:
  1. Ecosystem Disruption: GEOs could alter food chains, harm native species, or lead to the extinction of certain organisms.
  2. Gene Flow: Engineered genes might spread to wild populations, potentially creating "superweeds" or resistant pests.
  3. Loss of Genetic Diversity: GEOs might reduce the genetic diversity necessary for ecosystems to adapt to changes.
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The question about using CRISPR to edit human embryos explores the ethical issues of safety, consent, and societal impact. Editing embryos could potentially prevent genetic diseases but raises concerns about long-term effects, consent (since embryos can’t consent), equity in access to the technology, and the potential for misuse in creating "designer babies" with selected traits.
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The ethical implications of using CRISPR to edit human embryos include:
  1. Unintended Consequences: Risk of unforeseen genetic issues being passed to future generations.
  2. Designer Babies: Potential for selecting traits, leading to social inequality.
  3. Consent: Embryos cannot consent to changes that will affect their entire lives.
  4. Eugenics: Could revive eugenics practices by promoting "ideal" genetic traits.
  5. Equity: Access to such technology could deepen societal divides.
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Recent strike by doctors, after bruital rape and murder of resident doctor of R.G. Kar Medical College, Kolkata taken cognizance by the Hon'ble Supreme Court of Inida and M.P. High Court (Jabalpur Bench) and it is hoped that some positive solution may come out on the issue of safety and security of medical satff and patient community in India.
There is a need for all concerned stakeholders to discuss and debate on this important issue of immense public interest to bring some positive outcome acceptable to all including patient community which is main sufferer of strike, especially poor patients in need of healthcare. Article 21 of the Indian Constituion come into picture for protection of patient community, especially when there is emergency. The Indian Medical Council (Professional Conduct, Etiquettes and Ethics) Regulations, 2002, regulate conduct of medical professionals, through concerned state medical councils and the National Medical Commission/ Ethics and Medical Registration Board.
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few things need to change. E.g. the charter of duties of the head of the hospitals needs to include "Safety and security of all within the hospital premises". This must be non-negotiable.
On their part NMC can include it in Head of the Institution's charter. Similarly it must be mandated by all state govts for their hospitals.
The Head needs to be personally responsible for safety and security of everyone within the hospital - Staff, patients and visitors and must be tasked to implement any and all measures as necessary.
All those external to the hospital - Govt, ministers, police etc come much later.
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Now a days in India, market driven self-investigaitons are offered by many corporate laboratories, in the form of various packages like: whole body check-up, preventinive check-up, etc. without consultation with physician/consultant, which causes wastage of resources and ethical issues are need to be debated.
Interpretaiton of results of investigation is depends on half knowldage or inadequate knowldage by the patient side. This unneccessary demand for investigaitons needs to be discussed and debated and look after by regulatory authorities/bodies like, National Medical Commission (NMC), Ethics and Medical Registration Board(EMRB) and state medical council and medical fraternity.
If self-medication is harmful than why not self-investigaiton is harmful. This issue is of public interest seeing the lack of knowledge among masses related to medical science and advancement in research day-by-day.
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Self investigation is totally a corporate advertising and selling investigation to the people i general which leads increased over the counter medication and supplement selling.
It often leads to half, wrong and even over medication which highly dangerous to the people and patient.
Topic needs to debated and proper guideline should be issued and implemented by concerned bodies
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I am particularly thinking of practitioners undertaking self-study about their practice as part of work for accredited academic programmes. Do they inform those on the 'other side' of that practice? Do they gain their consent? Do they apply for formal institutional ethics approval? I would really appreciate references to published work please. Have you published in this field? Do you know of any good references?
There's quite a lot about the more axiological aspects of ethics here, but my focus at this juncture is on the more practical elements, and the procedures involved.
Many thanks
Mary
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I am particularly interested in the notion of agreement between subjects. I presented the framework of my theory in Constructivism, Modalities et Values(Researchgate) I would be happy if these reflections were useful to you. Piergiorgio Quadranti
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this is based on the book of African Christian Ethics by Samuel W. Kunhiyop
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The question needs to be more specific. There isn't only one kind of African ethics and there isn't only one kind of Wertern ethics. There is diversity within both.
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Why do we discriminate?
From a logical standpoint, the appropriateness of using assistive versus generative AI hinges on the specific application and the ethical frameworks in place. It makes sense to use assistive AI when the goal is to enhance human abilities and provide support without supplanting the need for human oversight and skills. Conversely, while generative AI offers significant potential for innovation and efficiency, it requires rigorous ethical considerations and regulations to manage its broader impacts on society, truth, and economics.
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Assistive-AI helps users by performing specific tasks, offering recommendations, or enhancing productivity through support tools. Generative-AI creates new content, such as text, images, or music, based on input data, generating original outputs rather than merely assisting.
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It happened that I am asked to review a paper for a journal. Incidentally, the paper is posted as a preprint in another database as open access with DOI. It is completely citable.
Now, should I reject the paper or should I review the paper and send comments? Is it ethical to submit a paper after its preprint is published in another database??
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Posting a paper as a preprint with a DOI does not generally preclude it from being reviewed and accepted by a peer-reviewed journal. Most reputable journals allow for the submission of manuscripts that have been previously shared as preprints, acknowledging their role in the rapid dissemination of research. Always check the specific policies of the target journal to ensure compliance and smooth processing of your manuscript.