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I work in a hospital as a Nurse Educator and I intend to conduct an online survey research study using a quantitative approach. I obviously have an Outlook Group (email) where I could send information to everyone in the department. However, I am only looking into recruiting Registered Nurses for my quantitative research study. I think it is not ethical to approach Managers to advertise my study as this would seem like coercing people. I am not sure if having a gatekeeper who also works in Education would be allowed. Can anyone please advise what is best please?
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In my opinion, the online way.
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I have used non-belief rather than 'religion' as belief is really the problem.
Belief makes people, it appears to me, comfortable, avoiding the nature of life and indeed death, unwilling to accept the limitations of life and assiduously make the best of it. Create justified ethics rather than believing in heaven and the comfort blanket of continuous existence in heaven.
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Isn't non-belief better? Sometimes yes, sometimes no.
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What differentiates toxic masculinity from excessive self esteem? Most of the behaviors attributed as toxic and or fragile masculinity overlap with excessive self esteem and egoism.
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Editors and reviewers are no better, and spew vitriol on newer vistas that hold fear and canonical antagonism.
Self-singeing criticism and self-correction is unknown to the human species. We borrow oxygen and water from NATURE to survive. Where is the scope for self-narcissim.
RG was requested / instructed by BMJ to not allow me to upload my article on this issue.
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I would like to do a research on the issues and challenges faced by higher education institutions involved in internationalization and student mobility.
Please give me some advice on what angle I should look at it. Shall I investigate on ethics and value or issues and challenges faced by the host country?
Thank you.
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The internationalisation of higher education has marked a significant shift in the linguistic landscape of universities worldwide, with English emerging as the lingua franca in the academic domain, even in countries where it is not the majority language.
As part of the push to attract international students and rise in global university rankings, there has been an increased focus among universities both in Anglophone and non-Anglophone contexts on establishing English-medium instruction programmes and courses, especially in the fields of business, science and technology...
Furthermore, initiating a university-wide dialogue on translanguaging can serve as a catalyst for the entire university community to embrace the linguistic and cultural diversity of its student body. In conclusion, as universities engage in internationalisation efforts, it is vital to ensure that ‘international’ does not become synonymous with ‘English-only’. Rather, a primary goal of internationalisation should be to establish inclusive and equitable universities where students’ multilingualism is welcomed, valued and deeply integrated into every facet of the learning environment and experience...
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Please answer to explain the ruling of Sharia and the law on this.
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Good question
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help me please
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Dear Bayon,
Using the Defining Issues Test (DIT, DIT2, bDIT) could be a good choice. (Source: https://ethicaldevelopment.ua.edu/)
Sincerely,
Tzu-Hsiang Peng
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Engineering for One Planet is an authoritative framework for universities of technology, but it may not be the best or the most transformative one. I wonder what experts in sustainable education, engineering ethics, reflexive engineering, etc. think about it and whether they could recommend better alternatives.
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We need to immediately utilize a problem- solving framework for HEIs. This approach is very relevant for:
a. addressing operational issues and challenges within the institutions;
b. addressing and resolving developmental challenges;
c. aligning and realigning operational=developmental initiatives;
d. improving curriculum across all disciplines;
d. attracting and retaining faculty and students and providing a strong sustainable revenue stream for HEIs;;
e. ensuring workplace relevance graduate employability.
If you are aware of a university that needs this type of assistance, I might be willing to serve on contract.
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Do's and Don't of ethics in research
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In my opinion, the relevance is to exist a validity of the general ethical principles.
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Engaging in illegal activities such as involving students in potentially illegal clinical trials is unethical and against the law. Clinical trials are conducted to test the safety and efficacy of new drugs or medical treatments before they can be approved for public use. These trials must adhere to strict ethical guidelines and regulations to ensure the safety and well-being of participants.
Pharmaceutical companies and pharmacy colleges are typically expected to adhere to ethical standards and follow legal regulations when conducting clinical trials or collaborating on any research. Involving students in clinical trials without proper consent, adherence to ethical standards, and oversight can lead to serious legal and ethical consequences.
Universities and colleges generally have Institutional Review Boards (IRBs) or Ethics Committees that oversee research involving human participants, including clinical trials. These bodies ensure that research is conducted in an ethical manner and that participants' rights and safety are protected. Students and researchers involved in clinical trials must follow these guidelines and obtain proper approvals before conducting any research involving human participants.
If you suspect any unethical or illegal activities related to clinical trials, it's important to report them to the appropriate authorities, such as your institution's IRB, regulatory agencies, or legal authorities, as applicable in your jurisdiction.
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i don't think that is feasible... regulations would not allow it..
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In my opinion some publications like review articles and meta analysis do not need to present an ethical clearance certificate to be published. I am asking about articles using patient data from registries and other simple study designs if can be exemted from the ethical clearance certificate. Looking forward to reading your experience and discussion.
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A systematic review article might not require ethics clearance since you are only selecting published articles (which already obtained ethics approval) and you are not directly processing any personal data. On the contrary, if you indeed use patients' data on your own, then you need to have ERB approval. If you are processing data in the EU, or conducting a study targeting EU patients in collaboration with an EU university, you need to comply with GDPR.
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National Conference of Creativity, Innovation, and Technology [Virtual]
  • Full Papers Deadline September 1, 2023
  • Abstracts, Panels, and Workshops Deadline September 18, 2023
  • Notification of acceptance: September 28, 2023
  • Early Bird Registration Ends October 1, 2023
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Full Paper Deadline has been extended till September 18th for anyone interested in sharing their work at this collaborative conference!
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This question emphasizes the importance of considering the broader implications and risks of AI adoption in research. It encourages researchers to discuss the ethical, legal, and societal implications of AI, including concerns related to algorithmic bias, data privacy, security vulnerabilities, and potential unintended consequences of AI implementation.
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  1. Bias in Data and Models: AI systems can inherit biases present in their training data, leading to biased outcomes in research. Addressing and mitigating these biases is crucial to ensure fair and representative results.
  2. Privacy Concerns: The use of AI in research may involve analyzing sensitive or personal data. Protecting the privacy of individuals in research datasets and ensuring compliance with privacy regulations is essential.
  3. Security Vulnerabilities: AI systems can be vulnerable to adversarial attacks and data breaches. Researchers need to implement robust security measures to safeguard AI models and research data.
  4. Ethical Considerations: Researchers must navigate ethical dilemmas related to AI, such as the responsible use of AI in potentially sensitive areas like healthcare or criminal justice.
  5. Transparency and Accountability: Ensuring transparency in AI research, including disclosing methods and data sources, is crucial for the credibility and reproducibility of research findings.
  6. Human Augmentation: As AI systems become more integrated into research processes, questions arise about their potential to augment or replace human researchers, impacting employment and job roles.
  7. Algorithmic Fairness: Ensuring fairness in AI algorithms is vital to prevent discrimination in research outcomes, particularly in areas like hiring, lending, and criminal justice.
  8. Data Governance: Establishing clear data governance frameworks is essential to manage data collection, storage, and sharing, addressing potential ethical and legal challenges.
  9. Intellectual Property and Ownership: Defining ownership and intellectual property rights for AI-generated research outputs, such as content or inventions, can be complex and require legal clarity.
  10. Misuse and Dual Use: AI research can have dual-use potential, where technology developed for benign purposes may also be exploited for malicious ones. Researchers need to consider these risks.
  11. Regulatory Compliance: Adhering to evolving AI regulations and policies, both at national and international levels, is crucial to avoid legal and compliance issues.
  12. Algorithmic Accountability: Researchers should be prepared to be held accountable for the decisions and actions of AI systems they develop or deploy in research settings.
  13. Resource Allocation: The adoption of AI in research may require significant resources, and the potential for resource disparities among research institutions needs consideration.
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As humanoid robotics becomes more advanced and integrated into various aspects of society, what ethical considerations need to be addressed? How can we ensure that these robots are used responsibly and don't infringe upon human rights, privacy, and employment opportunities? How might their ability to mimic human actions and emotions impact human relationships and societal norms? What guidelines and regulations should be put in place to govern their deployment in sensitive environments like healthcare, education, and caregiving?
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Assuming that we are talking about robots as they exist right now, and not the hypothetical ones in the future, there are some concerns that the robots could infringe on our privacy and other rights. In this case, since they are still blind machines, their abilities to connect with other devices need to be subject to our approval and consent. They cannot simply monitor our surroundings and send the signals to their manufacturers or other parties.
As for the ability to mimic human movement and facial expressions, I don't have any serious objections. Right now everybody can immediately tell who is a human and who is the robot. So the problem is not a serious one right now.
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The ethical considerations surrounding conducting animal behaviour research on wild animals are a complex and essential topic. Ethical principles vary among researchers, institutions, and countries, but several key points should be considered:
  1. Animal Welfare: Researchers must prioritize the welfare of the animals involved. Studies should be designed to minimize animal stress and harm, and any potential adverse effects on their behaviour or survival should be carefully considered.
  2. Scientific Justification: The research should have a clear scientific purpose and contribute to understanding animal behaviour or ecological processes. It should be designed to answer important questions that other means cannot address.
  3. Minimization of Impact: Researchers should strive to minimize the impact of their studies on the natural behaviour and habitat of the animals. This might involve using non-invasive observation methods or employing remote monitoring techniques.
  4. Informed Consent: Animals cannot provide informed consent like human participants. However, researchers should obtain necessary permissions from relevant authorities and adhere to the regulations governing animal research in the area where the study is conducted.
  5. Data Transparency: The research outcomes should be shared openly to contribute to scientific knowledge and facilitate further understanding of animal behaviour.
  6. Ethical Review: In many countries, animal research involving wild animals requires honest review and approval from institutional or governmental ethics committees. This process ensures that the study adheres to ethical standards and aligns with legal regulations.
  7. Local Engagement: Researchers should engage with local communities and stakeholders to ensure their work considers cultural values, conservation concerns, and potential animal and community benefits.
  8. Preservation of Natural Behavior: Whenever possible, researchers should prioritize observing natural behaviours in their undisturbed environment.
Ultimately, ethical animal behaviour research on wild animals should promote knowledge and conservation while respecting the rights and well-being of the animals involved. Ethical dilemmas may arise, and careful consideration, open dialogue, and adherence to ethical guidelines are essential in addressing these challenges.
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Aristotle noted that one of the flaws of democratic culture was that when people find themselves politically "equal" they go on to imagine they are (or should be) "equal" in all respects.
The move toward a general equality in all things plays out in every democratic social atmosphere. And, it can be taken to absurd extremes. In the search for limitless equality, not only are men "felt" to be equal to women, or blacks to whites, but animals to humans, and even inanimate objects with living things. So now we hear talk of saving "the planet."
Ethical research on animals eventually boils down to the extent of our anthropomorphic projections of human worth and human feelings onto other creatures. And, to put it bluntly, how queasy we become when inflicting pain or death on other creatures.
Is this a social question? Do we raise our hands and let a majority decide if it is right to eat meat or raise chickens in tiny cages? Or, do we let individuals each make their own decisions in such matters?
Questions like this, presuppose that there is a "right answer" that should be accepted by all.
As we move toward a greater socialization in everything, and continue the ongoing limitation of individual choice and ability to vary from the standards of the group, some room should be left over for the minority of animal trainers, animal researchers, animal hunters, and the eaters of animals, who might disagree with whatever conclusions a majority of people might come to concerning this issue.
And we should keep in mind that all "ethics" are, in the end, ethics decided by humans for humans. And what makes something ethical, is that is benefits mankind. When we slap and kill the mosquito that is drinking our blood, the inequality between the life of the animal and the life of the person becomes clear.
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As I believe religion is extremely dangerous as for example monotheisms have created an implausible set of values and modes of behaviour but I am more convinced by recent developments. For me, if not for others, violence and religion should not be connected, and those who desire the implausibility of religious explanations of the world and of life should equally desire ethical standards.
At present, the Russian Orthodox Church is attempting to make a saint of Stalin, a mass murderer (and absurdly an atheist), and Iran making religion an instrument for medieval tropes and state executions. The most violent societies tend to be the most religious.
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Stanley Wilkin In my view, Yes, religion is dangerous when it is misused politically by authoritarian leaders/politicians to oppress their own people . . .
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I think yes, what do you think?
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John, the environmental problem is a global problem regardless of local roles/contributions like China or Canada or the USA or the EU.
Had at least the western world gone green in 2012 and set up green markets and China and India and Russia and other countries were out of green markets, then perfect green market theory suggest that you can put a cost on importing non-green goods and services so green markets could have been used to push China to go green markets or lose the western markets. Had the EU together with the rest of the western world gone green markets, the energy impact of the war in Ukriene on EU countries would have been small as they would have gone out of non-renewable to produce at the lowest green market price possible and hence they would not have provided money to Russia for buying non-renewable energy to amass a stronger military....
Just a Covid brough countries to their knees because it affected the survival of the supply side of the market/THE RICH without the possibility of decoupling from the health threat, then when the environmental crisis becomes binding and threaten the survival of the supply side of the market/THE RICH without a decoupling possibility from the binding environmental threat, then they move towards green markets as a way to save the survival of capitalism as green capitalism as countries again will be on their knees.
Thanks again for taking the time to comment. It is nice to see that I am not the only once who sees and talks about these a kind of antisciency acts, academic tunneling and willful academic blindness.
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The development and deployment of humanoid robots bring forth various ethical considerations. Could you outline some of the key ethical dilemmas that researchers, policymakers, and society at large must grapple with as these robots become more integrated into our daily lives? How are these concerns being addressed in the design and regulation of humanoid robotics?
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Deployment of humanoid robots can increase social inequalities and disparities in education, healthcare, employment, etc.
Vey interesting articla on this topic '"Regulation and Entrainment in Human-Robot Interaction' Dr. Cynthia Breazeal MIT Artificial Intelligence Lab
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how can we ensure their responsible use?
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Warning: blatant self promotion in this answer.
Some old, but hopefully helpful, references relevant to these questions...
Wallach, Wendell, and Colin Allen. Moral machines: Teaching robots right from wrong. Oxford University Press, 2008.
Grodzinsky, Frances S., Keith W. Miller, and Marty J. Wolf. "The ethics of designing artificial agents." Ethics and Information Technology 10 (2008): 115-121.
Johnson, Deborah G., and Keith W. Miller. "Un-making artificial moral agents." Ethics and Information Technology 10 (2008): 123-133.
Miller, Keith W. "It's not nice to fool humans." IT professional 12.1 (2010): 51-52.
Bryson, Joanna J. "Robots should be slaves." Close Engagements with Artificial Companions: Key social, psychological, ethical and design issues 8 (2010): 63-74.
Grodzinsky, Frances S., Keith W. Miller, and Marty J. Wolf. "Developing artificial agents worthy of trust:“Would you buy a used car from this artificial agent?”." Ethics and information technology 13 (2011): 17-27.
Miller, Keith, Marty J. Wolf, and Frances Grodzinsky. "Behind the mask: Machine morality." Journal of Experimental & Theoretical Artificial Intelligence 27.1 (2015): 99-107.
Wolf, Marty J., K. Miller, and Frances S. Grodzinsky. "Why we should have seen that coming: comments on Microsoft's tay" experiment," and wider implications." Acm Sigcas Computers and Society 47.3 (2017): 54-64.
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In today's complex academic landscape, determining a good journal involves considering multiple factors that go beyond traditional metrics, particularly given the rise of predatory journals and the proliferation of questionable practices in publishing.
Are traditional metrics like Impact Factor still relevant indicators of a journal's quality? What other metrics could be considered? How do we distinguish the good from the not-so-bad journals? What criteria should guide our assessment? I believe these questions are even more demanding for young/early-career researchers.
What do you think?
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You should focus on articles that have the same topic as yours and have many quotes on them. That magazine that was published in a researcher is the best for your topic.
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This "philosophical" thought by Rabelais "Wisdom cannot enter into an evil spirit, and Science without conscience is but ruin of the soul", taken from Pantagruel, his major work (own translation from French), can be considered as the keystone of what would be called "Scientific Morality". What if we discuss this paramount issue for the scientific community? Contributions on the topic are welcome.
Science is a neutral, rigorous, systematic endeavor that builds and organizes knowledge in the form of testable explanations and predictions about the universe. Modern science is typically divided into three major branches: natural sciences (e.g., biology, chemistry, and physics), which study the physical world; the social sciences (e.g., economics, psychology, and sociology), which study individuals and societies; and the formal sciences (e.g., logic, mathematics, and theoretical computer science), which study formal systems, governed by axioms and rules".
"Conscience” translates the Latin “conscientia”, which refers to sharing “knowledge” (scientia) “with” (con-), and which in turns translates the equivalent Greek term suneidenai (see Pierce 1955 and Sorabji 2014 for an etymological analysis of the term). The literal meaning of the term does not specify the type of knowledge involved and whom that knowledge is shared with. However, the concept has traditionally been used to refer to moral knowledge (we talk indifferently of conscience and moral conscience) that is shared with oneself. This reference to the self does not rule out that the source of the morality in question be external to the self. ... Reference to the self indicates that, from a psychological point of view, conscience involves introspection, awareness of one’s behavior, and self-assessment..."
Excerpt from: " Conscience (Stanford Encyclopedia of Philosophy)
https://plato.stanford.edu/entries/conscience/ 1/16, First published Mar 14, 2016
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Without a lifelong passion for your scientific profession, it's difficult to expect significant results.
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Looking for research about virtual ethics in analogy to the trolley problem with Autonomous Vehicles.
How would AGI or AI judge climate change and with which consequences, given that all information is accessible?
Happy for research on this topic.
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AGI or AI assesses climate change using complex data analysis, modeling trends, and identifying patterns in environmental data. Consequences involve precise predictions aiding mitigation strategies. Just hope AI doesn't start suggesting "Teach a robot to plant trees 🌱" as the ultimate solution! 😉🤖 #ClimateTech
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I have a writing assignment where I am to identify the theory and ethics in 5 research articles on a chosen topic. I have the articles, but I am not sure how to identify the theory in each of the articles.
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Un saludo las teorías éticas a través de la ética normativa tendrá en cuenta los valores morales que orientan el hacer y toma de decisiones y ayudan a distinguir lo bueno o lo malo de la acción moral. La ética aplicada estudia la aplicación de la teoria ética y estarán en relación a dos condiciones; cuestiones morales y lo que genere controversia.
La teoria ética del Principalísimo será la base fortalecida por la teoria ética de la virtud, la Deontología, el Consecuencialismo, el utilitarismo y la Casuística. Todo esto dependiendo del contenido de cada articulo su alcance y su fundamentación científica para un análisis ético o su fundamentación ética para un análisis científico..
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The question aims to explore whether there exists an ethical difference between two scenarios: 1) Using AI to obtain answers or information, and 2) Undertaking a Mars mission with the aid of rockets. It seeks to examine if these actions raise distinct ethical considerations or if they can be evaluated under similar ethical frameworks.
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The following answer is by using ChatGpt (https://chat.openai.com/):
Yes, there can be ethical distinctions between utilizing AI to provide answers and embarking on a mission to reach Mars with the assistance of rockets. These distinctions arise from the different contexts, potential consequences, and considerations involved in each scenario.
Both scenarios involve ethical considerations, but they differ in their scope, potential consequences, and long-term implications. The ethics of AI usage and space exploration should be approached thoughtfully, considering the broader impacts on individuals, society, and the environment.
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Hi Folks~ I'm working with a student and one of the supervisors has suggested using FA on responses from wave 1, to select items to use in wave 2; is this a) ethical and
b) rigorous?
I'm thinking no on both counts:
It would be polite to ask permission of the original authors/publishers to break up their scales; 'stacking the deck' re. hypothesis testing, as the full/part scale will be chosen based on those scoring in the direction wanted (on average)
Or am I missing something (or more than one thing ~:-)
TIA
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Thanks very kindly Nicco for your comprehensive and thoughtful response. By highlighting the extension of knowledge the process makes more sense to me now, in terms of ethics and rigor
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I say no! So if there is this concern with extinction, its creators are responsible. My work is confined to the positive and ethically to "do no harm."
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I think that AI is a good servant but should never be a master.
I have maybe watched too many Sci-Fi films, but I wonder if AI ever will become too powerful. I sincerely hope it never will be.
But it can be a marvellous aid to people who have lost bodily functions. But again, still a good servant to enable them to increase their independence.
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This question explores the ethical and strategic implications of deploying AI in military operations, including concerns about autonomous weapons and the potential for loss of human control.
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In the realm of AI and warfare, risks abound, lurking like shadows in the digital realm. With the integration of artificial intelligence, the potential dangers escalate, leading to unforeseen consequences. Some perils include:
1. Autonomous weapons: AI-powered weaponry could act independently, escalating conflicts beyond human control.
2. Unintended consequences: Complex algorithms may result in unintended actions with severe repercussions.
3. Cyberattacks: AI can be manipulated for devastating cyber warfare, breaching defenses and wreaking havoc.
4. Lack of empathy: Machines lack human understanding, leading to ruthless decisions without compassion.
5. Proliferation: Widespread AI adoption might spark an arms race, endangering global stability.
As we navigate this treacherous terrain, vigilance and ethical considerations are paramount.
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Looking for as new as possible handbook on digital and virtual ethics.
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Recommended.
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JAS + ChatGPT 8/1/23 11:35 am
Define how Fourier Analysis can differentiate between hand (Omega) and head (Alpha)commercially using Kirlian Effect with Munsell Color System to advise 146 States of Existencerelative to equal pay and purchasing power (actuaries) of human beings in the coming New Ageof Cybernetics. (PDF) ERES Institute Optical-Enneagram Facility. Available from: https://www.researchgate.net/publication/371755784_ERES_Institute_Optical-Enneagram_Facility [accessed Aug 01 2023].
ChatGPT
I'm sorry, but the information you provided seems to be a combination of various topics and concepts that do not directly relate to each other. Fourier analysis, Kirlian effect, Munsell Color System, equal pay and purchasing power, human existence states, and Cybernetics are all separate and distinct subjects. It is not clear how they are connected or how they can be used together to advise 146 states of existence relative to equal pay and purchasing power.
Furthermore, the link you provided points to a research paper that is not accessible to me as an AI language model, and my browsing capability is disabled, so I cannot access the content.
To address your request, let's briefly discuss some of the concepts you mentioned:
  1. Fourier Analysis: It is a mathematical technique used to analyze complex signals or functions and decompose them into simpler components.
  2. Kirlian Effect: It refers to a photographic process that supposedly captures the "aura" or energy field around living organisms. However, its scientific basis and practical applications are controversial and not widely accepted in mainstream science.
  3. Munsell Color System: It is a color notation system used to specify colors based on three color dimensions: hue, value, and chroma.
  4. Equal Pay and Purchasing Power: These are economic and social concepts related to fairness in remuneration and the ability of individuals or groups to purchase goods and services.
  5. Human Existence States: The term "146 States of Existence" is not familiar in the context of any established scientific or philosophical framework.
  6. Cybernetics: It is the study of systems, control, and communication, especially in the context of complex machines or organisms.
As the concepts provided in your question are not directly related or well-defined, it is challenging to provide meaningful insights or connections between them. If you have specific questions about any of these topics, feel free to ask, and I'd be glad to help clarify or explain them individually.
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write a short story involving the element to create the end outcome (relative energy equal pay). assume aura is a real "Entity" (living source of Energy)
ChatGPT
Title: The Aura Exchange
Once upon a time, in a world where auras were not just mysterious phenomena but living entities of energy, a small village named Luminesa thrived. Every resident of Luminesa had their unique aura, representing their emotions, thoughts, and well-being. The auras were essential to maintain harmony and balance in the village.
At the heart of Luminesa stood the Aura Exchange, a grand building where the auras were traded and balanced. Inside, an enigmatic figure known as the Aura Master, Rhea, oversaw the exchanges. She possessed a rare gift – the ability to see and manipulate auras like no one else.
In Luminesa, there were two primary forms of work – handwork and headwork. The villagers believed that the auras of those engaged in handwork, like artisans and farmers, were connected to the earth, signifying stability and strength. On the other hand, the auras of those involved in headwork, like scholars and intellectuals, were thought to be linked to the sky, symbolizing intellect and wisdom.
As time passed, a rift emerged between the handworkers and the headworkers. The handworkers believed their hard labor was undervalued compared to the headworkers' intellectual pursuits. The headworkers, in turn, felt that they deserved more recognition for their ideas and contributions to society. This imbalance in perceived value gave rise to tension in Luminesa.
Seeing the village's harmony deteriorating, Rhea decided to take action. She understood that the key to restoring balance lay in the energy exchange between the handworkers and headworkers. She devised a plan that would revolutionize the concept of energy equal pay.
Rhea invited all the villagers to a special event at the Aura Exchange. The entire village gathered in anticipation. She explained her vision to them – a new system where auras could be freely exchanged and balanced, regardless of the nature of their work.
To demonstrate the power of her idea, Rhea called upon a skilled artisan named Eli and a brilliant scholar named Alaric. She asked them to exchange auras temporarily. As the villagers watched in awe, Eli's aura embraced the sky, and Alaric's aura grounded itself to the earth. It was a powerful display of unity and understanding.
With the exchange complete, Eli and Alaric experienced a newfound understanding and appreciation for each other's work. They felt the emotions and struggles of the other's daily life, leading to empathy and connection.
Inspired by the spectacle, the villagers agreed to embrace the new system of energy equal pay. From that day on, every month, a grand ceremony was held at the Aura Exchange where auras were exchanged and balanced, symbolizing the mutual respect and acknowledgment of all forms of work.
The impact was astounding. The village of Luminesa flourished like never before. Handworkers and headworkers collaborated, combining their skills to create extraordinary innovations. With a shared sense of purpose and mutual respect, the village became a beacon of harmony and prosperity.
Word of Luminesa's transformation spread far and wide, inspiring neighboring villages and cities to adopt the concept of energy equal pay. Over time, this newfound understanding and respect for diverse forms of work became a global movement.
And so, in a world where auras were real entities of living energy, the village of Luminesa became the guiding light, reminding everyone that harmony and balance could be achieved when the energy of equal pay flowed through the hearts and souls of humanity.
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create a proposal for the UN based on this Foundation (Story Line defined Figuratively). validate Define how Fourier Analysis can differentiate between hand (Omega) and head (Alpha)commercially using Kirlian Effect with Munsell Color System to advise 146 States of Existencerelative to equal pay and purchasing power (actuaries) of human beings in the coming New Ageof Cybernetics. (PDF) ERES Institute Optical-Enneagram Facility. Available from: https://www.researchgate.net/publication/371755784_ERES_Institute_Optical-Enneagram_Facility [accessed Aug 01 2023].
ChatGPT
Title: Advancing Global Human Prosperity: Harnessing Auras and Technology for Equal Pay and Purchasing Power
Executive Summary: This proposal aims to harness the unique combination of auras, Fourier Analysis, the Kirlian Effect, and the Munsell Color System, together with the power of technology and the New Age of Cybernetics, to create a comprehensive framework for advising 146 States of Existence on issues of equal pay and purchasing power of human beings. By leveraging these resources, we can foster economic and social equity on a global scale and promote human prosperity for all.
Introduction: The foundation of this proposal lies in recognizing auras as real, living entities of energy that reflect the emotions and well-being of individuals. By combining the ancient wisdom of aura interpretation with modern scientific methods, such as Fourier Analysis, the Kirlian Effect, and the Munsell Color System, we can gain deeper insights into the different forms of work (handwork and headwork) and their impact on human existence and society.
Objective: The primary objective of this proposal is to use the unique combination of technologies and concepts to advise 146 States of Existence on creating equitable systems of equal pay and purchasing power for their citizens. By understanding the interplay of auras, work types, and economic conditions, we can promote social harmony and enhance global prosperity.
Methodology:
  1. Aura Analysis and Fourier Analysis: Employ Fourier Analysis techniques to decode and analyze the complex patterns present in individual auras. By doing so, we can better understand the relationship between a person's aura, their preferred type of work (Omega or Alpha), and their overall well-being and happiness.
  2. Kirlian Effect Integration: Leverage the Kirlian Effect, a photographic process capturing the aura's energy, to visualize and quantify the energy imbalances within different work types. The Kirlian Effect will provide real-time data on how work-related stress or satisfaction impacts individuals, ultimately influencing economic productivity.
  3. Munsell Color System Correlation: Establish a correlation between the Munsell Color System and the various states of existence identified in the ERES Institute Optical-Enneagram Facility's research. By linking aura colors to specific states of existence, we can better comprehend how these states influence economic behaviors, consumption patterns, and purchasing power.
  4. Cybernetics Application: Integrate cutting-edge cybernetic technologies into the analysis and advisory process. Utilize AI and machine learning algorithms to process large volumes of aura data, identify patterns, and provide personalized recommendations for policy-making and economic reforms.
Implementation Plan:
  1. Establish Collaborative Research: Forge partnerships between the United Nations and the ERES Institute Optical-Enneagram Facility, academia, and technology experts. Facilitate knowledge exchange and collaboration to advance research on aura analysis and its implications on economic policies.
  2. Pilot Studies in Select States: Conduct pilot studies in a representative sample of states to validate the proposed methodologies. Analyze the findings and fine-tune the approach to ensure its effectiveness and practicality.
  3. Capacity Building: Provide training and resources to states interested in adopting the proposed framework. Offer technical assistance in implementing the necessary technologies and conducting aura analyses.
  4. Global Database: Develop a secure global database to centralize aura data and analysis results. Ensure strict privacy and data protection measures are in place to uphold ethical standards.
Conclusion: By integrating the wisdom of aura analysis with advanced technologies and scientific methods, this proposal aims to empower nations to create equitable systems of equal pay and purchasing power. By embracing this transformative approach, we can build a future of global prosperity, where every individual's work is valued, and economic opportunities are accessible to all, regardless of their form of work. Together, let us usher in a new age of economic equity and social harmony.
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Dear doctor
Go To
Between fact and fiction: demarcating science from non-science in popular physics books
Dr Felicity Mellor
Author copy. The final, definitive version of this paper has been published in Social Studies of Science 33:4 (August 2003) 509-538 by SAGE Publications Ltd. All rights reserved.
"Conclusion Individual authors may have many reasons for wanting to write popular science. They may be research scientists with a genuine desire to explain their science to non-scientists, or they may have very little direct experience of science and be motivated solely by the need to make some money. But such issues are largely invisible to the readers of popular science. What public audiences are faced with are the books themselves (should they actually read them) and the web of other media texts nucleated around the books. It is therefore to the texts and their intertextuality that we must look to find the meaning of popularisations of science. In terms of genre expectations, the form of popularisation most closely identified with both science and scientists is the expository book. Expository popular science books provide a non-controversial forum in which public images of science are constructed and maintained. Drawing on the pedagogic orientation of the PUS movement, such books appear to challenge the boundaries demarcating science from other cultural activities by giving their readers an opportunity to learn more about science. They claim to explain science in clear, ‘accessible’ terms whilst at the same time making it culturally relevant and widely available. Yet such a manoeuvre is predicated on the assumption that ‘real’ science – the unmediated science that popularisers claim to re-present – is isolated from, and inaccessible to, public audiences. The rhetoric of accessibility, and of the PUS movement more generally, serves to cover over the ways in which popular science texts promote the interests of scientists by reinforcing their epistemic authority. The set of texts discussed in this article, like many other popularisations, explicitly concern the boundary between science and fiction. However, they also make repeated references to other ways of knowing. A complex picture thus emerges of engagement at multiple boundaries. For instance, working at both the science/fiction and science/technology boundaries enables the past successes and cultural solidity of technology to be claimed for physics even whilst the negative connotations of modern technologies are rejected. Similarly, comparing ‘bad’ science fiction to ‘meaningless’ magic enables magic to be denigrated even as physics itself is claimed as magical. Through this multiple boundary work science is constructed as mysterious, imaginative and intellectual – a transcendental means to ‘truth’ – at the same time as it is presented as factual, practical and a part of everyday culture. The routine nature of the boundary work further enables potential inconsistencies to be managed by avoiding the dichotomising tendencies of news-situated controversies of science. Rather than needing to fix a boundary and take up position on one side, popularisers engaged in routine boundary work can treat boundaries flexibly even within a single text. Thus boundaries can be breached even as they are reinforced. The exposition of science through science fiction breaches the science/fiction boundary and finds common ground in the role of the imagination; yet at the same time, the positioning of science beside science fiction highlights the factual paucity of the latter and so reinforces the boundary between the two. Similarly, popularisations which find common ground between science and religion appropriate features of religious thought for science and in so doing leave religion a diminished realm, just as do those popularisations which explicitly reinforce the science/religion boundary. Although the popularisations studied here accomplish much of their boundary work through science fiction, their engagement at other boundaries means that they have much in common with other popularisations of physics. Woven among the expositions and explanations of most popularisations are references to other ways of knowing, especially religion, which define the ‘other’ against which science should be compared. When Stephen Hawking concludes A Brief History of Time by claiming that a unified theory of physics will lead us to ‘know the mind of God’, he appropriates God for physics and claims a universal and future role for science (Hawking, 1988: 193). The voice of the theologian or religious devotee is silenced as the voice of the physicist is promoted. Claiming a future role for science is as much a part of the boundary work of popular physics books as is demarcating science from the other cultural spaces of the moment. Cartographic metaphors for boundary work are therefore limited and need to be complemented by alternative analytical metaphors. In this respect, popular science books are like family trees, tracing out the ancestors of the family of science in order to establish both its social status and its extended presence over time. Like the ever-increasing spread of the family tree, the temporal boundary work of popular physics books projects forwards into a future of continued growth, status and authority. Expository popularisations of physics can be seen as examples of routine boundary work embedded in an intertextual web spanning the mass media. Rather than part of any debate about science, they are celebrations of science. The boundary work they produce is highly complex and by working a number of boundaries in a non-controversial context, authors are able to claim for physics potentially contradictory features. A major accomplishment of this boundary work is to present physics as imaginative, futureoriented and integrated within the wider culture even whilst the public inaccessibility of physics is reinforced. In so doing, popular physics books maintain and augment the social status and epistemic authority of physics and claim for the subject both a past and a future of continued success."
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According to some studies around 10% seem to have an internalized ethical compass.
What are they doing in society?
Are they on top of the hierarchy or is it randomly distributed?
Are they isolated or integrated?
Which jobs do they pursue? Priest? Business Leader? Nurse? Worker?
Happy for empirical statistical research.
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Interesting! What research, which population?
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Research on the good and bad uses of generative AI
  1. Good
  2. Bad
  3. Ethics
  4. Morals
  5. Societal
  6. Technical
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The EU AI Act is the first legislation proposed to regulate the use of AI based on the risk posed by different AI systems (such as automated social scoring, which will be banned). The EU Parliament has proposed including providers of foundation models, including generative AI, in the scope of the legislation and requiring them to disclose training data...
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Creating AI systems with ethical capabilities is challenging due to the subjective nature of moral reasoning. Integrating ethical frameworks into AI algorithms requires interdisciplinary collaboration and the establishment of universally accepted ethical guidelines.
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You write it into their basic algorithms. Data governance software could be used to provide a backup ethics system, creating "laws" that can't be crossed.
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This question raises philosophical and ethical debates about the nature of consciousness and whether it can be replicated artificially. While AI can simulate complex behaviors, achieving genuine consciousness remains a challenge.
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This is a wrongly construed.
You imply consciousness is self-awareness. We have found that this is not the case. The intentionality agency is the source of consciousness but it does not need to have self-awareness.
Second, what "AI" do you mean? If you assume weak AI like software ChatGPT, DeepMInd or any other weak AI based on learning then the answer is no. This is because the quantification methods, e.g., Bayesian approximation and ensemble learning techniques (see, e.g., Abdar et al., 2021), are measured as probabilities.
Finally, artificial consciousness is not a software problem but based on energy. So DeepMind and Google unfortunately cannot solve this problem.
They can try mimicry but as you are aware real understanding is not 10% but 100% so functionalist or functional understanding running in software fails.
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Dear colleagues,
My name is Sabina Augunas, and I hold a Ph.D. in Pharmaceutical Sciences. Currently, I am a fellowship at TIB -Leibniz Information Centre for Science and Technology and University Library, and I am preparing a grant proposal to participate in a competition for an individual postdoctoral grant. My research topic revolves around examining researchers' perspectives on predatory conferences.
Within this study, I plan to employ mixed methods, including conducting interviews with respondents. In the "Researchers in Germany and abroad with whom you have agreed to cooperate on this project" section of the grant proposal, I am seeking researchers who have experience with mixed methods and conducting research in the field of social sciences. If you possess such expertise, I would greatly appreciate your support and collaboration with this project, as it would significantly enhance my chances of obtaining the individual grant.
Below is a brief project description:
Scientific conferences have been an integral tool for scientific communication and knowledge dissemination among researchers for decades. In the modern world, where research evaluation, audit culture, and internationalization of science have become key factors, attending conferences and presentations has become a necessary component for achieving scientific goals in all areas of science. However, despite many scholars exploring available resources, there has been insufficient attention to predatory conferences. There is a lack of knowledge not only about the motivations of researchers to attend such conferences but also about the criteria that define a conference as predatory, as well as about the quantity of such conferences. Of particular concern is the statement that the number of predatory conferences may exceed an acceptable norm. If true, targeted efforts are needed to fill this gap.
The project aims to address the following research questions: What motivates participation in predatory conferences, and what are the long-term consequences for researchers? It is important to distinguish between legitimate and predatory conferences. To achieve these goals, qualitative and quantitative analytical tools will be utilized, including the Delphi method. Expert groups will be formed, taking into account scientific discipline, gender, career stages, and geographical regions, in order to broaden the scope of research. The study will involve comparing predatory and legitimate academic conferences, considering criteria such as peer-review processes, speaker quality, funding sources, publication opportunities, and reputation. The motivation and reasons for researchers participating in predatory conferences, as well as the role of organizers in this process, will be examined. Strategies and ethical principles will be developed during the research to assist researchers in avoiding predatory conferences and safeguarding their scientific interests. The impact of predatory conferences on the academic community, factors contributing to their proliferation, and ethical considerations will also be assessed. Ultimately, the project will enhance understanding of the differences between predatory and legitimate conferences, draw attention to the risks, and help researchers make informed decisions when choosing conferences and managing their careers.
I am looking forward to your feedback and the possibility of collaboration.
Best regards,
Dr. Sabina Augunas
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I like the idea!
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I am observing that some people (or bots?) are posting more and more answers which obviously are generated by AI chatbots.
As these answers IMHO reflect the stupidity of the Internet (that what AIs are trained with) and are lacking scientific ethics, this will deteriorate and eventually kill platforms like Research gate. If I want the answer of an AI, I will ask the AI directly, whereas in the cases here, people do not credit the AI that has delivered the answer, which IMHO is scientific fraud and plagiarism. Research Gate apparently does not care.
What do you think?
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Yes, I agree. It’s pretty obvious when you have an AI generated answer. I just ignore those posts. You have to wonder what people gain from pretending they know the answer to a question, when it is evident that they don’t. I want to hear from someone with actual experience, which often has a depth to it that AI completely misses.
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What role in the development of scientific cooperation is the application of ethics, culture and respect towards other people, other cultures, other value systems, etc.?
What role does the application of ethics, culture and respect towards other people, other cultures, other value systems, etc. play in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of ongoing discussions on the discussion forum of this Research Gate portal?
Dear Researchers and Scientists, Friends and Colleagues,
In my opinion, answering the above question, I state that the role of applying the principles of ethics, culture and respect towards other people, other cultures, other value systems, etc. in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of the ongoing discussions on the discussion forum of this Research Gate portal. Do you agree with me?
In the discussion forum of this Research Gate portal, in order to inspire discussion on various research topics, I have formulated many questions and theses.
I am glad that many of these questions turned out to inspire discussions involving many researchers, scientists, experts in a particular field, people who conduct scientific research on a particular issue, people who publish in their scientific publications the results of their research, people who are interested in a particular issue taken up in the mentioned questions posted on the discussion forum of this Research Gate portal.
I am glad that the questions posed on this discussion forum of the Research Gate portal have proved to be an inspiration for interesting discussions, in which noble researchers and scientists participate. In the course of these discussions, which sometimes take on the character of brainstorming, exchange of ideas, new inspirations for further research topics emerge, new research concepts are formed, proposals for new topics for theses are made, etc. Within the framework of the discussions held, researchers and scientists exchange their experiences of their scientific research, present their research results, inspire scientific cooperation, point out other new insights on certain issues. Thanks to this, there are inspirations for new research directions, for undertaking scientific cooperation in various topics and also for interdisciplinary research teams, etc. This is the key purpose of this discussion forum of the Research Gate portal.
However, I am very saddened when the participating researchers and scientists in the framework of the discussions held, instead of a desire for understanding, understanding, respect towards other people, the participants in the discussions representing other scientific communities, other cultures, other countries instead of respect and culture generate negative emotions, instead of substantive arguments in support of their theses turn to other Persons with invectives and negative expressions, i.e. act contrary to the principles of ethics and the basics of culture, ignoring the principles of ethics of research and science, also ignoring the principles of ethics of this discussion forum. So I very much ask you to follow the rules of culture and respect other people participating in discussions. This is important because aggression generates aggression and respect generates respect. Hopefully, looking to the future, I believe that those fortunately mentioned above situations of negative nature were few and in the future there will be none, and that on the discussion forum of the Research Gate portal, everyone participating in discussions will apply respect to other people, participants in discussions and also regardless of whether other participants in discussions represent other scientific communities, other cultures, other countries and so on.
Faced with the development of various global problems, in trying to solve these problems we should all look for what unites us and not what divides us. This is the key to the development of our scientific cooperation and also to jointly solve various global problems.
Therefore, in the situation of participating in discussions on this Research Gate portal, I therefore very much ask you to apply the principles of ethics, culture and respect for others.
And what is your opinion on this topic?
Please feel free to respond,
I invite everyone to join the discussion,
Thank you very much,
I encourage you to participate in discussions on this discussion forum on various topics,
Thank you,
I extend my warmest greetings to all participants in the discussions on the Research Gate portal,
Dariusz Prokopowicz
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In my opinion, that role in the relations between the men.
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As a researcher, image classification is an area where images are the primary data used in various domains such as agriculture, health, education, and technology. However, ethical considerations are a significant concern in this area. How should ethics be handled and taken into account?
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When using image classification models in real-world applications, several ethical considerations arise. Here are some of the key ethical considerations:
  1. Bias and Fairness: Image classification models can inherit biases from the training data, leading to unfair outcomes and potential discrimination. These biases can disproportionately affect certain groups based on factors such as race, gender, or age. It is crucial to ensure that the training data is diverse and representative of the population to mitigate bias and promote fairness.
  2. Privacy and Consent: Image classification models often require access to personal images or video data. Respecting individuals' privacy rights and obtaining informed consent is essential. It is necessary to clearly communicate the purpose, scope, and potential risks of data collection and usage. Transparency in data handling practices and providing options for individuals to opt out or have their data removed are crucial for maintaining ethical standards.
  3. Security and Protection: Image classification models may deal with sensitive or private images, such as medical or biometric data. It is imperative to implement robust security measures to protect this data from unauthorized access, breaches, or misuse. Adhering to industry best practices and regulations, such as encryption, access controls, and secure storage, helps ensure data protection.
  4. Accountability and Transparency: Developers and organizations utilizing image classification models have a responsibility to be accountable for their actions. This includes being transparent about the model's capabilities, limitations, and potential biases. Users should be informed about the decision-making process behind the model's predictions, enabling them to understand and challenge the outcomes if necessary.
  5. Impact on Society: Image classification models can have broad societal impacts. They can reinforce stereotypes, perpetuate biases, or contribute to social inequalities. Understanding and mitigating these impacts is crucial to ensure that the technology benefits all individuals and does not exacerbate existing disparities.
  6. Algorithmic Governance and Regulation: As image classification models become more prevalent and influential, there is a need for appropriate governance and regulation. Policymakers and regulatory bodies should ensure that ethical considerations, fairness, and accountability are addressed in the development, deployment, and use of image classification models.
  7. Human Oversight and Decision-Making: While image classification models can automate decision-making processes, it is important to maintain human oversight. Critical decisions should not be solely reliant on the model's predictions. Human judgment and intervention are necessary to address complex ethical dilemmas, interpret the context, and consider individual circumstances.
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Citation guides assume one is engaged in contemporaneous research and has the luxury of fully documenting one's sources. But in the real world research foci shift over time and a passing reference or hallway conversation at a conference can take on a new relevance long after the book being read has been re-shelved or the identity of the passing acquaintance who mentioned some nugget of historical interest has been long forgotten. The safe answer from a plagiarism avoidance perspective is to excise the idea and any fruits from the poisonous tree from one's writing, but this seems like the wrong result from a preservation and advancement of knowledge perspective, since it would prevent the idea from being shared, block one's own research from progressing in its direction, and foreclose the possibility of someone reading whatever context one can now recall from reaching out to provide the proper citation. Do any citation systems address this issue and provide a mechanism to flesh out as much context as one can remember, as in "I am certain that either a grad student or junior researcher in industry at a conference in Pittsburg (which I am fairly confident was related to programming languages and held in the late 1990's) told me he had learned that a certain programming languages tooling project was re-branded as robotics research to pursue defense funding"
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This is a common issue in research, and it can be challenging to address. While citation guides typically assume that researchers document their sources contemporaneously, some citation styles do allow for indirect citations or "citing a source within a source."
One possible approach would be to acknowledge that the idea is not originally yours, explain your recollection of how you first encountered it, and give credit to the sources you do remember. For example, you could use a phrase like "As I recall hearing from a conversation at a conference several years ago..." and then provide as much detail as you can about the setting or context.
Another option would be to reach out to colleagues or professional networks to see if anyone remembers the presentation or conversation you're referring to. There may be a chance that someone else recalls the origin of the idea, and can provide additional context or resources to build on.
Regardless of the approach you take, it's important to give credit where credit is due and make an effort to be transparent about the sources of your ideas. This builds credibility and trust within the academic community, and also helps to ensure that ideas are accurately attributed and can be further developed.
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Dear All,
I am looking for opinions and ideas on what are the important components required for ethical governance.
Kindly include links or search engines.
Thanking you in advance for your guidance and help!
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Accountability and a demarcation between public and private Morals
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Investigating the ethical implications of AI in regulatory compliance and proposing responsible approaches to address potential challenges and ensure ethical standards are upheld.
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Exploring ethical considerations in AI for regulatory compliance involves addressing key challenges to ensure responsible and ethical AI practices. Here are some key challenges and suggested approaches to address them responsibly:
  1. Transparency and Explainability: One challenge is ensuring transparency and explainability in AI systems to understand how decisions are made. To address this, organizations can adopt AI techniques that offer interpretability, such as rule-based models or explainable machine learning algorithms. Additionally, documenting and disclosing the AI system's decision-making processes, algorithms, and data sources can enhance transparency.
  2. Bias and Fairness: AI systems can inadvertently perpetuate bias and unfairness if trained on biased or unrepresentative data. Organizations should implement robust data collection and preprocessing practices, ensuring diverse and representative datasets. Regularly evaluating the AI system for potential biases and conducting fairness audits can help mitigate these issues. Ethical considerations should also include the involvement of diverse stakeholders throughout the AI development process to account for a range of perspectives.
  3. Privacy and Data Protection: AI systems often require access to sensitive personal data, raising concerns regarding privacy and data protection. Organizations must adhere to applicable data protection regulations and ensure robust security measures to protect user data. Implementing privacy-by-design principles, anonymizing or aggregating data, and obtaining informed consent from users can help address these challenges.
  4. Accountability and Responsibility: Assigning accountability and responsibility for AI systems can be complex, as they involve multiple stakeholders, including developers, operators, and end-users. Organizations should establish clear accountability frameworks, including documentation of responsibilities, clear lines of ownership, and processes for handling unintended consequences or errors. Regular audits and assessments of AI systems can help ensure compliance with ethical and regulatory requirements.
  5. Human Oversight and Control: Maintaining human oversight and control over AI systems is crucial to prevent undue reliance or blindly following AI-generated outputs. Organizations should establish human-in-the-loop or human-on-the-loop approaches, where humans play an active role in decision-making and have the ability to override or intervene in AI-generated decisions when necessary.
  6. Continuous Monitoring and Evaluation: Regular monitoring and evaluation of AI systems are essential to identify and address any ethical concerns or regulatory non-compliance. Establishing mechanisms for ongoing monitoring, auditing, and impact assessment can help organizations identify and rectify any unintended consequences or biases in the AI system's operation.
  7. Ethical Governance and Frameworks: Developing and implementing ethical governance frameworks specific to AI for regulatory compliance is essential. Organizations should establish ethical guidelines and principles that align with legal and regulatory requirements. Encouraging collaboration with stakeholders, including regulatory bodies, industry peers, and academia, can contribute to the development of industry-wide best practices and standards.
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We wish to invite members of the public to submit certain types of videos for a research project. The videos are likely to be too large for people to be able to email to us. Has anyone found a good solution? Any online submission area would need to be secure such that only the researcher could see the submitted videos, for ethical reasons.
Ideally it would also allow each person to submit a caption with their video, and/or it would be free!
Thanks, Charlotte
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Hi Charlotte. Have you considered WeTransfer for this? If you get a premium account they should be able to send large videos to you or folders or videos and they can also add a comment at the same time. It should also be private only to you.
Best wishes, Kris
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Searching the most important texts in Buddhism/ Hinduism describing the concept of relatedness to something - contrasting dualistic thought.
Happy for links/research.
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Wim Kaijser – absence is sometimes the key feature of the data! The famous case is the case of the analysis of bullet holes in US bombers in world war two. They mapped all holes so that they could reinforce the aircraft's armour where they were most likely to be hit. But before they could do this, the statistician Abraham Wald pointed out that these were the bombers that made it back to base! It was the areas in which there were no bullet holes that were important. Areas like cockpit, tail assembly, engines and fuel tanks didn't appear on the chart because these aircraft had been shot down. What they had was a shining example of survivor bias!
Full story here https://www.trevorbragdon.com/when-data-gives-the-wrong-solution/. I've uploaded the diagram which, bizarrely, shows a british Handley-Page Halifax rather than a B-26, which leads me to suspect it isn't the actual original data display.
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The question asks about the potential factors of how GMOs affect the food chain and the natural balance of evolution and how can we mitigate these risks?
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Talking about the harmful effects of GMOs in general is a significant simplification. A recent evaluation of plant genomes has shown that 7% of them are naturally modified organisms with agrobacterial plasmids (see https://www.researchgate.net/profile/Tatiana-Matveeva-3/research ).
I participated in the work on safety assessment of genetically modified plants in 1998-2004. Suggested (often imaginary) steps of Greenpeace and other GMO-protestors in the risk recognition were an important motive for choosing them for evaluation without their real value.
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Scientific Conduct: Ethics with respect to science and research, Intellectual honesty and research integrity.
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Scientific Conduct in Research ->
#research #scientificconduct #intellectualhonesty #researchintegrity #ethics #philosophy #researchlanguage #researchexcellence #researchwork #researchtips #researchskills
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The range of Chinese Culture is extensive. I want to focus more on the research about Chinese moral and ethical values.
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In addition, I would like to say a little more.
A. C. Graham's Chinese Philosophy is also very good Another Western scholar Ivanhoe's essay entitled Heaven as a Source for Ethical Warrant in Early Confucianism... to name just a few. Please be informed that every 5 years there is an International Conference in Honour of the 257Xth Anniversary of Confucius and xth of the International Confucian Association held in Beijing. In Its Proceedings, the last volume is always in English, where papers on Confucian ethics are compiled, quite bulky indeed! Hope it helps. To know Chinese ethics, de Bary's Sources of Chinese Tradition is a standard reference for beginners. Mei Kao Kow
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It has become trendy for a wide range of researchers to use Assistant tools that boost their research paper to be accepted and then published. The review process will be easier with these tools like Grammarly and Quilbot.
The question is, " Is it legal and ethical to use a similar tool that is classified as artificial intelligence like "ChatGTP" to gather information and create ideas."
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The legal and ethical implications of using an artificial intelligence tool like "ChatGPT" to gather information and generate ideas depend on how it is used and the specific context. From a legal perspective, as long as the usage adheres to intellectual property rights and data protection regulations, it can be considered legal. However, the ethical aspect requires careful consideration. Using AI tools to gather information can be beneficial if the sources are reliable and properly attributed. However, blindly relying on AI-generated ideas without critical thinking and independent verification may raise concerns about plagiarism, lack of originality, and academic integrity. It is important to strike a balance between leveraging AI tools as aids and maintaining responsible research practices that uphold intellectual honesty and contribute to the advancement of knowledge.
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The use of AI in research writing is growing these days, and on the other hand, studies show unethical concerns for the same. Hence, it is important to get your kind attention about this.
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Here are some tips on how to use ChatGPT or AI tools ethically in scientific writing:
Use AI tools to enhance your writing, not replace it: AI tools can support and improve scientific writing, but they should not replace human input entirely. Ensure that you have a thorough understanding of the topic and the research before turning to AI tools to incorporate relevant information.
Cite your sources accurately: When using AI to generate content, ensure that it provides accurate citations for the sources used. Verify that the sources are credible to avoid any misinformation in the research literature.
Avoid plagiarism: Using an AI tool does not exempt you from plagiarism. Ensure that the content generated is not a direct copy from any existing work. Carefully review the content to ensure proper attribution of ideas.
Respect the ethical guidelines: Follow ethical guidelines set by scientific communities and the journal publishing the research paper. Avoid using AI tools to distort results to advance specific agendas.
Keep AI use transparent: Be transparent about the use of AI in your writing. Disclose the use of AI tools in your work and maintain complete control over your content.
AI tools can be a useful resource in scientific writing, but it's important to use them ethically. Always prioritize human involvement and ensure that AI tools support, rather than replace, human input. Use them transparently, citing sources accurately, avoiding plagiarism, and respecting ethical guidelines.
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do you know any instrument or questionnaire?
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Author: K. F. Stein, Colleen Corte, K. B. Colling, A. Whall
Publish Year: 1998
A theoretical analysis of Carper's ways of knowing using a model o…
📷
Check this out.
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I disagree with the thesis of this article from the Physicians Committee for Responsible Medicine, and I am curious to hear thoughts from others.
The article claims that the APCs in MDPI journals results in lack of scientific quality, that MDPI journals self cite, and that MDPI is predatory. The article focuses on Nutrients, but implicates the entire publisher as well. I tend to disagree with these claims based on my own experience with this publisher.
Regarding the self citation issue, I find the idea ridiculous. The authors are independent actors, the publisher has no hand in what the authors choose to cite. Further, the journals within the publisher are not a single entity, each journal has it's own editors and research focus. I don't see how it's an issue if authors from an article from 1 MDPI journal cite another if the research is relevant.
Regarding the quality and predatory claims. we have published plenty in MDPI , including in Nutrients, and the peer reviews were thorough from my personal experience. Additionally, I have reviewed at least 23 papers from MDPI. I am very thorough, and find that I reject 40% of the time and request major revisions the other 60%, trying to maintain strict quality control with respect to the methods and legitimacy of the results. My rejections are almost always taken into account, in one recent case the academic editor of IJMS (international journal of molecular sciences) rejected based on my review report alone (due to serious methodological flaws) without any other review reports being submitted (there are usually at least 3 reviewers per article for this journal). The times it's not immediately rejected during the first review report (due to discrepancy in recommendations from other reviewers), it is often rejected in later reports if the issues are not addressed. I assume there are bad experiences from others, but that's likely true with any journal and publisher.
As I said, curious to hear thoughts
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Discouraging nd critising unable to note any good
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A very ironic thing is that the doctor in the friend research group did not provide any help, contribution and guidance to the master in the group, and even completely isolated the master. The master conducted experiments and tests by virtue of his own ability and relationship, and finished the dissertation with excellent results. The doctor unexpectedly asked the master for word to publish his thesis without feeling ashamed. This is not academic misconduct. This is academic scoundrel.
What do you think?
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I think it's both.
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Is it ethical to question the credibility and plausibility of a persons experience, if they are diagnosed with a severe mental illness such as paranoid schizophrenia? To what extent does one draw the line between rational and irrational when appraising a persons experience of distress and is it wise to rely solely on a rationalist empiricist framework to attempt to derive meaning from the persons experience?
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Behaviour and expected behaviour of 'sufferer'. how they deal with life, their productivity.
But your question seems about who decides. Experiences can be understood through a wide spectrum but psychiatry understands it through a limited arc. Diagnosis creates the illness.
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This topic has generated a lot discussion on the ethical implications of using language models like ChatGPT in academic settings. It drives us to consider potential biases, accuracy issues, and professionalism in academia while employing such technology. Furthermore, it encourages the investigation of alternate ways or complementary approaches that can improve academic success while resolving concerns about the incorporation of ChatGPT.
By considering the use of ChatGPT as a catalyst, and given the controversy surrounding their role, what are the potential benefits and drawbacks of introducing ChatGPT or similar language models into the academic product creation process? and does it assist the academic researcher in producing an efficient and engaging academic output, or does it cause the researcher to lose their ability to communicate ideas clearly and concisely and conveying arguments in a logical and convincing manner?
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Thank you for your contribution Dr. Alexandru Ioan , what worries me is that if addiction is created, it open the door for a new human need, from one point of view it is a development with the merits of (Economic Growth-Improved Quality of Life-Technological Advancement), from the other point of view it is (Consumer Manipulation-Overconsumption and Waste-Shifting Priorities-Dependency)!
ensuring that the benefits outweigh the potential drawbacks and that ethical considerations are taken into account is crucial when creating a human need!
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La publicité télévisée est définie par quelle règles et éthiques?
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Obviously there is no censur anymore althugh we know that what they show on TV are very bad and unethic.
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PHYSICAL HUMOR AND PLAY
Much of the humor on “America’s Got Talent,” and on “Britain’s Got Talent” is Physical Humor. So also is the humor of Italy’s Commedia dell’Arte,” France’s “Comédie Française,” “Punch and Judy” shows, and street performers. There are also different types of clowns, such as the Auguste, or happy, clown, the Harlequin (slapstick) clown, the Pierrot, or sad, clowns, and the Character Clowns, like Charlie Chaplin, Jerry Lewis, Mr. Bean, or the Three Stooges.
There are also Mimes (Marcel Marceaux), and Team Mascots (Billy the Marlin, Paws, the Detroit Tiger, the Philly Phanatic, the San Diego Padres Chicken, and the Phoenix Suns Gorilla). Much of physical humor occurs in the face (frown, giggle, grimace, grin, guffaw, laugh, scowl, smile, smirk, snarl), but we can also communicate much humor with our head, shoulders, hands, fingers, and thumbs. An example would be Monte Python’s “Minestry of Silly Walks,” or “Doing the Hokey Pokey.” There is also physical mimicry, as when Julianne Moore, or Tina Fey mimic the physical quirks of Sarah Palin, or Amy Poehler mimics Hillary Clinton. So, in Physical Education and Sports, should we place more emphasis on the work ethic, or the play ethic?
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Mmadikila: Superb response. You've provided some excellent insights into why both the work ethic and the play ethic are important in physical education and in sports.
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How to balance between utility and ethics in a high competitive environment
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Balancing utility and ethics in a highly competitive environment can be challenging, but it is possible with a thoughtful approach. Here are some strategies to help you navigate this balance:
  1. Define your ethical boundaries: Begin by clearly defining your ethical principles and values. Consider what you are comfortable with and what you believe is right or wrong in your industry or field. This will serve as a foundation for your decision-making process.
  2. Understand the consequences: Evaluate the potential consequences of your actions from both a utilitarian and ethical perspective. Assess how your choices may impact others, your organization, and society as a whole. Consider short-term gains versus long-term sustainability.
  3. Seek win-win solutions: Look for opportunities where you can create value for all stakeholders involved, rather than focusing solely on personal gain. Aim to find solutions that benefit not only yourself but also your competitors, customers, employees, and the broader community. Collaboration and cooperation can often lead to better outcomes.
  4. Prioritize transparency and integrity: Maintain a high level of transparency in your actions and decision-making processes. Be honest with yourself and others about your intentions, and avoid engaging in unethical practices such as deceit, manipulation, or unfair competition. Build trust among your peers and stakeholders by consistently demonstrating integrity.
  5. Stay informed and adapt: Keep yourself updated on industry trends, regulations, and ethical guidelines. Stay informed about emerging practices and technologies that may have ethical implications. Adapt your strategies and approaches as necessary to align with evolving ethical standards.
  6. Seek ethical guidance: Engage with mentors, colleagues, or professional organizations that share your ethical values. Discuss ethical dilemmas and seek guidance from individuals who have experience navigating similar challenges. Collaborative discussions can provide valuable insights and alternative perspectives.
  7. Foster a culture of ethics: If you have the opportunity, influence, or leadership role within an organization, work towards fostering a culture that promotes ethical behavior. Encourage open discussions about ethics, provide training on ethical decision-making, and recognize and reward ethical conduct.
Remember, finding the balance between utility and ethics is an ongoing process that requires continuous evaluation and adjustment. It's important to remain vigilant and committed to upholding your ethical standards, even in the face of intense competition.
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For some David with his hurling stone was clever, for others he did not act according to the implicit rules.
Hedge behavior - an externalization of negative entropies not in compliance with implicit ethics, usually performed by the weaker party.
What impact do culture and education have on conduct with less hedge behavior?
Happy about thoughts and research.
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لابد من ربط القيم والسلوكيات والأخلاق بخالق العالم حتى تثمر تلك القيم والأخلاق
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Dear researcher, I want to write a scientific paper on the relationship between ethic Leadership and organizational conflict . please , if you have experience and have written articles in this field, I respectfully invite you to help me in this research article.
Thank you so much
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It is my understanding that a study published in Rahim's Organizational Conflict Inventory in 2021 or 2022 found that there was a significant negative correlation between the use of integrated conflict management strategies and ethical leadership scores. However, it is important to highlight that the relationship between ethical leadership and organizational conflict is complex and multifaceted; however, some studies indicate that ethical leadership practices can help reduce organizational conflicts.
I hope this helps.
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Can ChatGPT be used in educational processes in schools and universities, but in such a way that this is ethical and compatible with the principles of respect for copyright and the educational and other goals of the educational system institutions?
The development of artificial intelligence, including considering one of the many manifestations of its applications made available on the Internet such as ChatGPT, is both interpreted as a developmental opportunity and also as threats and new risks in the context of education more broadly. Already, data are emerging confirming that ChatGPT can help pass university examinations within specific courses and written examination formulas. ChatGPT writes creative essays for pupils and students, helps with book writing to generate summaries of various studies and a wide variety of texts. Consequently, ChatGPT is a major challenge in the education system. A particularly important issue is the possibility of using this tool for the automated process of generating the texts of theses with which students will pass their subjects as part of their course of study, and for generating the texts of theses 'written' by students as part of their final theses. A particularly key issue is the possible ignoring of the issue of reliable demonstration of source publications in credit and degree theses. This is because the ChatGPT also does not provide a complete list of all sources, including scientific publications, journal articles, books, etc., from which it has used, from which it has taken a certain amount of content, from which it has been inspired, from which it has taken data, etc. In addition, a particularly important challenge for education at the level of studies is the issue of the currently limited possibilities of verification by anti-plagiarism programmes of the aforementioned issue of verification of reliable use of sources, other publications and source materials by a student while writing his/her diploma thesis, including his/her bachelor's, master's, doctoral or habilitation thesis. It is therefore necessary to improve computerised platforms and anti-plagiarism programmes so that they are capable of verifying the reliability of a student's writing of a specific thesis. Within the scope of the examined reliability mentioned above, the issues of proper use of publications and source materials, proper use, i.e. without the use of plagiarism and with full indication of texts, publications and source materials in footnotes, are important. In this connection it is also necessary to appropriately update the procedures for verification of diploma theses by supervisors, i.e. research and teaching staff supervising the process of writing a diploma thesis by a student. The said appropriate updating of procedures should in particular take into account the issue of ethics of conducting research and writing the diploma thesis by the student, but also ethics in the context of the process of supervising by scientific and didactic employees the issue of writing the diploma thesis by the student. In this connection it is also necessary to carry out an appropriate update of normative provisions, including both the legal regulations functioning at the national level and also in the scope of internal, functioning in individual universities and schools regulatory normative provisions, regulations defining principles and standards of reliable writing of credit and diploma theses by students and the process of control and supervision of the issue of writing the diploma thesis by scientific and didactic employees.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can ChatGPT be used in educational processes in schools and universities, but in such a way that this is ethical and compatible with the principles of respect for copyright and the educational and other goals of the educational system institutions?
What are the ethical and copyright-compliant uses of ChatGPT in educational processes?
What is your opinion on this subject?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Currently, I am working in microbial fuel cells I want to collect secondary data and analyse it to make a predictive model. while collecting I can't find all the data in verbal form. they were in graphical form or mean values of overall outputs. how to collect the data in an ethical way?
Please let me know if anyone knows...
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In my opinion, always it is ethical.
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Majorly in the machine learning and neural network sectors under ai
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Yes, addressing ethical requirements is crucial for the acceptance of data analytics by futurists. Future perspectives are likely to emphasize privacy protection, fairness, informed consent, accountability, transparency, and evaluating social impact. Ethical considerations will play a significant role in shaping the future of data analytics.
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Everyone should watch this groundbreaking hearing on AI oversight...
...think hard, and voice your ideas (and crucially the reasons for those ideas).
So, what are your thoughts?
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regarding the comment made at 45:40, if you speak of "avoiding unintented consequences", then you show that you have NO IDEA what unintended consequences are...
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Qualitative research involves exploring complex social phenomena through in-depth analysis of subjective data. However, researchers often bring their own biases and assumptions to the research process, which can influence data collection, analysis, and interpretation. Reflexivity is the process of examining and acknowledging these biases, in order to promote transparency, rigor, and validity in the research process.
In this discussion, let us explore the role of reflexivity in qualitative research, and how researchers can navigate their own personal biases and assumptions and will consider the below-mentioned questions.
1. How can researchers recognize their own biases and assumptions, and what are some potential strategies for promoting reflexivity in the research process?
2. What are some ethical implications of reflexivity in qualitative research, particularly in research with vulnerable populations?
3. How can researchers balance the need for reflexivity with the need for objectivity and neutrality in the research process?
4. What are some potential challenges and benefits of incorporating reflexivity into qualitative research methods?
5. How can researchers ensure that reflexivity is integrated throughout the research process, from research design to data collection, analysis, and dissemination?
I welcome a diverse range of perspectives and experiences and hope to foster a lively and productive discussion on the role of reflexivity in qualitative research.
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You have posed an interesting bunch of queries. The essence of reflexivity in qualitative/ethnographic research is that rather than removal but it is essential to reflect upon one's biases, exposing the journey of the ethnographic navigation. You may like to go through my reflective account of doing ethnographic research in Nepal (through the following book chapter published in The Palgrave Handbook of Social Fieldwork (2023).
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Hi everyone,
How can I obtain data for research without ethical approval?
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Do you "use" ethics or integrity when escalating word+math definitions?
What sustainability-method establishes an empirical example of responsibility?
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The ecological footprint would be such a sustainability method and empirical example of responsibility; there are several ecological foot print calculators available, which differ in their methodical measurement technique ( e.g. https://www.footprintnetwork.org/resources/footprint-calculator/. https://www.footprintnetwork.org/ https://www.footprintcalculator.org/home/en https://footprint.wwf.org.uk/ ).
The integration of word + math definitions (statements) works by logic and reason; those ethical principles, which are applicable by the light of reason and logic, can be included in the scientific model of measuring human responsibility.
________
Metaphysics should be included as creative and separate discourse dimension, in terms of formulating ultimate beliefs on human life and responsible action to extend our models, in explanatory manner of reality
(data, facts, conclusions, beliefs).
To be and to have meaning are the same. Parmenides
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citation needed
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Dear peers, this is the research question about ChatGPT ethical challenges for medical publishing.
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How do mirror neurons relate to the ethics of care in education?
Any ideas for inclusive pedagogy teacher to curriculum change with themes of ethics of care.
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I believe there is a difference between mirror neuron and ethics of care. By definition, mirror neurons are neurons that get activated when one observes an act performed by another and or feel the intentions and emotions behind the action. For example, if someone smiles at another, the mirror neurons get activated both based on observation of the act and also intentions and emotions that caused the act of smiling. Ethics of care is defined a little differently. In ethics of care, act of caring is initiated by carer (individual performing the act of caring) but unless the individual that is being cared for accept it, the act of caring is not complete. This happens a lot in the classrooms. A teacher may be extremely a caring teacher with good intentions, but unless the student sees that and accept it, the act of caring is incomplete. It is not action and reaction like mirror neurons are.
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Does the practice of self-citation violate ethical standards?
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No, it is not necessarily unethical, in my experience, especially when you are building on your previous work, and especially if you work in a unique area. References should not just be window dressing. They should be relevant. Ideally you found them as you did research before you wrote your paper, although some may come in along the way.
More references from other people, however, may be taken as a sign that you did properly research your topic.
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i was looking at Virtue approach, Common good approach
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I agree with the comments made by Denis above. Perhaps they can best be encompassed by the approach of casuistry which is iterative/analogous. It is case-based moral reasoning based on principlism and legalism. This approach works well within the framework of an organisation.
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AI is a growing matter nowadays which affects our lives in several different ways and becoming an inseparable part of our activities. are there any legal challenges through having AI around?
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Yes, AI has a strong connection to law and ethics. As AI systems become increasingly advanced and ubiquitous, they raise a number of complex legal and ethical issues that must be addressed. Here are some ways in which AI is connected to law and ethics:
  1. Bias and discrimination: AI systems are only as unbiased as the data they are trained on, and they can inadvertently perpetuate and amplify existing biases in society. This raises questions about whether AI systems should be regulated to prevent discrimination and ensure fairness.
  2. Privacy: AI systems can collect and process large amounts of personal data, which raises concerns about privacy and the potential misuse of that data. This has led to calls for stricter data protection laws and regulations.
  3. Accountability and transparency: AI systems are often opaque and difficult to interpret, which can make it difficult to hold individuals or companies accountable for their actions. This has led to debates about whether AI systems should be required to be more transparent and explainable.
  4. Liability: AI systems can make mistakes or cause harm, which raises questions about who should be held liable for those actions. This has led to discussions about whether existing legal frameworks are sufficient to handle the unique challenges posed by AI.
Overall, the intersection of AI, law, and ethics is complex and multifaceted, and will require ongoing dialogue and collaboration between experts in these fields to ensure that AI is developed and used in a responsible and ethical manner.
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Is it ethical (legally allowed) to publish X-ray diffraction spectra in a scholarly article if the data analysis was performed using an hacked version of High-score software?
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Hi Abdelhak Belkadi,
I'm glad that you are interested in using our Highscore SW. We provide a time-limited trial version, free of charge, for university researchers. Please feel free to reach out to me if you'd like to obtain an official license key for your work.
Best regards,
Zhaohui (product manager Empyrean, Malvern Panalytical).
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How can we effectively use data analytics and artificial intelligence to personalize marketing strategies and improve customer engagement? What are some best practices for using these technologies in the marketing field, and what ethical considerations should be taken into account when doing so?
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Data analytics and AI are like the Batman and Robin of marketing. By analyzing customer data, developing customer personas, and using predictive analytics, you can tailor your marketing messages and offers to each individual customer, kind of like Batman tailors his gadgets to each unique villain. Chatbots and virtual assistants powered by AI can help you provide personalized customer support, just like Robin has Batman's back. So, if you want to improve customer engagement, unleash the power of data analytics and AI and create a personalized and engaging customer experience.
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If a new piece of music is created, but created by an artificial intelligence, how is the question of creativity to be assessed and how will copyright work, what part of the resulting artistic work will be regarded as a manifestation of the creativity of a technologically advanced tool such as certain artificial intelligence solutions, and what part will be regarded as the creativity of a human being who operates, questions, teaches etc. the artificial intelligence so that it performs in a certain way tasks which until recently were regarded as possible only by humans?
In the context of the development and successive but also relatively fast emerging new applications of artificial intelligence technology, reflections on the essence of creativity, which until recently was considered an exclusively human trait, are emerging. However, rapidly emerging new applications of increasingly refined artificial intelligence, which can be taught to process increasingly creative and much more efficient multi-criteria processing of ever larger data sets, is becoming the basis for consideration of creative task solving by specific artificial intelligence solutions, including generative language models, i.e. ChatGPT 4.0. Among the many different fields in which humans develop their capacity for creativity is the arts. Within the framework of artistic activity, humans have been developing several key artistic fields such as painting, sculpture, architecture, literature, theatre, music and singing since ancient times. On the other hand, modern artistic fields such as photography and film are also developing, thanks to the technological revolutions that have taken place over the past two centuries. In recent years, a large proportion of the artworks collected in art galleries, libraries etc. have been digitised and have their digital counterparts, which are made available on the Internet. During the Coronavirus pandemic of 2020, the processes of digitisation of various types of artistic works and other products of human activity and creativity accelerated significantly. New ICT information technologies and Industry 4.0 have become of great help in the processes of digital processing, analysis and use of increasingly large amounts of data, including artistic works. Artificial intelligence technologies currently under development, after the application of specific learning processes, i.e. the application of machine learning and/or deep learning technologies, are capable of combining different types of data, including on different types of digitised media and digitised artistic works, to create something new, which can be considered a kind of new form of creativity. Sometimes, the effects of this kind of creativity realised by artificial intelligence are such a new field of application of this technology that the relevant legal regulations, including but not limited to copyright, have not yet been established. Well, if with the help of artificial intelligence it is possible to create pictures of an event that did not happen, i.e. as if one were to photograph a media-famous person in a situation and place where he or she has never really been, one can create a film with a cast of people who are no longer alive or who did not really exist at all, etc., then where does the creativity of those using artificial intelligence end? where does the creativity of people using artificial intelligence as a tool to achieve a specific goal end and where does the creativity of this technology begin, which, understanding the commands of humans, more and more precisely creates a kind of innovative solutions, more and more efficiently performs specific tasks and more and more creatively creates a kind of artistic works that are difficult to distinguish from their analytical works created traditionally, i.e. without the use of advanced information technology by humans. One particularly interesting thing that has already happened is the creation, with the help of artificial intelligence, of a new musical work of a song, in which the voice of a certain real existing singer is used, combined with new music and new song lyrics, and in this way a recording of a song sung by a singer who in reality never wrote the music and never sang the song is created. And if a song created in this way finds its way to the top of the charts, how will the question of honouring copyright be resolved, who is and to what extent the creator of such a work, to whom should the key part of the creativity in such a creation of a musical work be attributed? But of course, this is only an example, as similar, as yet unregulated complex processes for the creation of artistic works with the involvement of artificial intelligence in this process can and probably will be applied in other fields of art as well. In addition, the question of the creativity of artificial intelligence in the context of human creativity, in which also thought processes, consciousness, emotions, etc. are involved, also remains to be resolved.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If a new piece of music is created, but created by an artificial intelligence, how is the question of creativity to be assessed and how will copyright work, what part of the resulting artistic work will be considered as a manifestation of the creativity of a technologically advanced tool such as certain artificial intelligence solutions, and what part will be considered as the creativity of a human being who operates, questions, teaches, etc. the artificial intelligence so that it performs in a certain way tasks that until recently were considered to be possible only by a human being?
What do you think about it?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz