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Questions related to Ethics
AI Bias, Fairness & Ethics: How Can We Build Responsible AI?
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
- 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.
- Bias and Fairness – AI systems trained on biased datasets may reinforce cultural stereotypes or unfairly disadvantage certain groups.
- Regulatory Variability – AI regulations vary across countries, requiring adaptive ethical frameworks to ensure compliance while maintaining fairness.
- 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
- Culturally Aware AI Design – AI should be developed using diverse datasets and tested across multiple cultural contexts to reduce bias.
- Ethical AI Governance Frameworks – Establishing global and local AI ethics committees that ensure AI aligns with human rights and cultural values.
- Explainability and Transparency – AI decision-making processes should be interpretable, allowing users from different cultures to understand and trust AI-driven outcomes.
- 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.
- 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.
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!
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.
Possibility of applying Machine or Robot Ethics
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?
the vision is to discuss the about the ethical development and also to develop mature, informed vocationally skilled leaders of integrity, faithfulness and excellence!!
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 ?
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:

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

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)?
Is leveraging on AI the best way to optimize fisheries and aquaculture practices while ensuring ethical, ecological, and socioeconomic sustainability?
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.
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:
- 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.
- 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.
- 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.
- 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.
- Data Transparency: The research outcomes should be shared openly to contribute to scientific knowledge and facilitate further understanding of animal behaviour.
- 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.
- 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.
- 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.
What are the sources of ethics in the teaching profession?
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
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?
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?
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
Book yogapsychologie
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

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.
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?
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:
- 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.
- 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.
- Scientific and Ethical Review: All research must undergo a rigorous review by an independent ethics committee. Research protocols should be publicly available.
- Post-Trial Provisions: Researchers are required to ensure access to interventions identified as beneficial during the study after its conclusion.
- Use of Placebos: Placebo use is restricted to cases where no proven intervention exists or when compelling methodological reasons justify it.
- Protection of Privacy: Emphasizes the confidentiality of personal data and the protection of participants' identities.
- Compensation for Harm: Provides that participants harmed as a result of research should be compensated.
- 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.
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?
As AI tools are quite prominent so experienced researchers can tell it . Whether it is ethical or not...
The ethical statement should clarify that the study followed ethical guidelines and obtained necessary approvals.
The statement should include:
- Ethical Compliance: Mention adherence to relevant ethical guidelines (e.g., Declaration of Helsinki).
- Approval: State that ethical approval was not required if the study did not involve human subjects or sensitive data.
- Informed Consent: Confirm informed consent was obtained, if applicable.
- 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."
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.
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!
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! 🚀
I want to have paper in title of persistence, diligence, hardworking in ethics.
can any one instruct me to download and read which articles?
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.
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
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?
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!
🌱 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
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 ?
This question explores the tension between innovation in marketing strategies and achieving commercial success, and the need to maintain customer ethics and consumer welfare.
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.
And are there any ethical concerns associated with this approach?
I am learning about ethical definitions and practices. Please guide me know which scientists write about them.
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.
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.
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!
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.
source: Common ethical challenges in AI https://www.coe.int/en/web/bioethics/common-ethical-challenges-in-ai
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:
- Masturbation: End of the World, Self-Control a New Beginning – Sandeep Jaiswal
- Will Puberty Be in Mother's Womb in Future – Sandeep Jaiswal
- Lesser of Men Than Our Fathers: No Men in a Few Decades – Sandeep Jaiswal
- Kama Sutra: A Pandora's Box of Evils – Sandeep Jaiswal
- "The Role of Sexual Energy in Spirituality: Harnessing Lust for Consciousness Expansion" by Shakti Malhotra
- Sacred Sexuality: Transforming Lust into Divine Energy" by David Deida
- "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!
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?
A critical analysis of eti-owo in ibibio ethics
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?
1. Clinical
2. Research
3. Training residents
4. Conflict of interest with industry and pharmaceuticals
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
- Introduction to Health Research Methods
- History of Clinical Trials
- Clinical Trial Designs
- Clinical Trial Essentials
- Ethics and Good Clinical Practice in Clinical Trials
- Trial Protocol Development
- Clinical Research Site Operation
- Clinical Data Management
- Clinical Trial Monitoring
- Principles of Statistics in Clinical Trials
- Reporting Clinical Trials
- Essentials of Project Management
- Regulatory Affairs of Clinical Trials in Saudi Arabia
- 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
- Dr. Basim Alsaywid Saudi National Institute of Health, Riyadh, Saudi Arabia Email: balsaywid@snih.gov.sa
- Dr. Miltiadis D. Lytras Saudi National Institute of Health, Riyadh, Saudi Arabia Email: miltiadis.lytras@gmail.com
Managing Editor
- Dimitrios Lytras, MD Student School of Medicine, National Kapodistrian University of Athens Email: dimitrios.lytras.md@gmail.com
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.
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.
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,*
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
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.
This question is an assignment given to me by my Lecturer in Adeleke University. The course is titled Morality and Ethics.
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?
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?
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 ?
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?
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.
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?
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.





+1
How can we ensure that the decisions made by AGI are consistent with human values and ethics?
using book 1 and 2 of Nicomachean Ethics, do u think virtue is essential to happiness?
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
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
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
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,
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.
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.
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.
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?
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.
How similar are natural law and common sense? How? Why?
How should healthcare systems prioritize patient care when faced with limited health resources, and what ethical considerations arise from these decisions?
What are the ethical boundaries of genetic editing in human embryos?
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
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

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?
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.
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.
the ethical considerations used in applying gene editing technologies to agricultural crops?
What are the most pressing ethical concerns surrounding the use of genetic engineering in agriculture, medicine, and other fields?
The question asks about the potential risks and moral concerns of releasing genetically engineered organisms into nature, such as:
- Ecological Risks: Could GEOs harm ecosystems by disrupting native species or reducing biodiversity?
- Ethical Concerns: Are there moral issues related to fairness, unintended consequences, and public consent when releasing GEOs into the environment?
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.
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.
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.
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
this is based on the book of African Christian Ethics by Samuel W. Kunhiyop
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.
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??