Results for 'Ethics of Artificial Intelligence'

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  1. Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward Zalta (ed.), Stanford Encyclopedia of Philosophy. Palo Alto, Cal.: CSLI, Stanford University. pp. 1-70.
    Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made (...)
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  2. Ethics of Artificial Intelligence.Stefan Buijsman, Michael Klenk & Jeroen van den Hoven - forthcoming - In Nathalie Smuha (ed.), Cambridge Handbook on the Law, Ethics and Policy of AI. Cambridge University Press.
    Artificial Intelligence (AI) is increasingly adopted in society, creating numerous opportunities but at the same time posing ethical challenges. Many of these are familiar, such as issues of fairness, responsibility and privacy, but are presented in a new and challenging guise due to our limited ability to steer and predict the outputs of AI systems. This chapter first introduces these ethical challenges, stressing that overviews of values are a good starting point but frequently fail to suffice due to (...)
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  3.  36
    The ethics of artificial intelligence, UNESCO and the African Ubuntu perspective.Dorine Eva van Norren - 2023 - Journal of Information, Communication and Ethics in Society 21 (1):112-128.
    PurposeThis paper aims to demonstrate the relevance of worldviews of the global south to debates of artificial intelligence, enhancing the human rights debate on artificial intelligence (AI) and critically reviewing the paper of UNESCO Commission on the Ethics of Scientific Knowledge and Technology (COMEST) that preceded the drafting of the UNESCO guidelines on AI. Different value systems may lead to different choices in programming and application of AI. Programming languages may acerbate existing biases as a (...)
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  4. Ethics of Artificial Intelligence.John-Stewart Gordon, and & Sven Nyholm - 2021 - Internet Encyclopedia of Philosophy.
    Ethics of Artificial Intelligence This article provides a comprehensive overview of the main ethical issues related to the impact of Artificial Intelligence on human society. AI is the use of machines to do things that would normally require human intelligence. In many areas of human life, AI has rapidly and significantly affected human society … Continue reading Ethics of Artificial Intelligence →.
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  5.  83
    Ethics of Artificial Intelligence.S. Matthew Liao (ed.) - 2020 - Oxford University Press.
    "Featuring seventeen original essays on the ethics of Artificial Intelligence by some of the most prominent AI scientists and academic philosophers today, this volume represents the state-of-the-art thinking in this fast-growing field and highlights some of the central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment as a result of automation, how to avoiding designing AI systems that perpetuate existing biases, and how to determine whether an (...)
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  6.  44
    The ethics of artificial intelligence in education: practices, challenges, and debates.Wayne Holmes & Kaśka Porayska-Pomsta (eds.) - 2022 - New York, NY: Routledge, Taylor & Francis Group.
    The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, (...)
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  7. Ethics of Artificial Intelligence.Vincent C. Müller - 2021 - In Anthony Elliott (ed.), The Routledge social science handbook of AI. London: Routledge. pp. 122-137.
    Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools (...)
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  8. Ethics of Artificial Intelligence vs Ethical Artificial Intelligence.Giovanni Landi - 2020 - Www.Intelligenzaartificialecomefilosofia.Com.
    The discussion and debates around Ethical AI cannot simply ignore the fact that ethics is not a self-standing discipline by is part of Philosophy and can only be approached as such.
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  9. The Ethics of Artificial Intelligence and Robotization in Tourism and Hospitality – A Conceptual Framework and Research Agenda.Stanislav Ivanov & Steven Umbrello - 2021 - Journal of Smart Tourism 1 (2):9-18.
    The impacts that AI and robotics systems can and will have on our everyday lives are already making themselves manifest. However, there is a lack of research on the ethical impacts and means for amelioration regarding AI and robotics within tourism and hospitality. Given the importance of designing technologies that cross national boundaries, and given that the tourism and hospitality industry is fundamentally predicated on multicultural interactions, this is an area of research and application that requires particular attention. Specifically, tourism (...)
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  10.  13
    The Ethics of Artificial Intelligence for the Sustainable Development Goals.Francesca Mazzi & Luciano Floridi (eds.) - 2023 - Springer Verlag.
    This volume provides an extensive overview of the Ethics of Artificial Intelligence for the Sustainable Development Goals. The authors are experts contributing with perspectives from different fields. The comprehensive collection of chapters illustrates the pressing governance problems related to using AI for the SDGs, and case studies describing how AI is advancing and can advance the achievement of the Goals. Students, scholars, and practitioners working on AI for SDGs, the ethical governance of AI, sustainability, and the fourth (...)
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  11.  2
    Ethics of Artificial Intelligence.Francisco Lara & Jan Deckers (eds.) - 2023 - Springer Nature Switzerland.
    This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with (...)
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    Just Hierarchy and the Ethics of Artificial Intelligence.Qin Zhu - 2023 - Ethical Perspectives 30 (1):59-76.
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  13. Ethics of Artificial Intelligence in Brain and Mental Health.Marcello Ienca & Fabrice Jotterand (eds.) - forthcoming
  14.  5
    Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges.Bernd Carsten Stahl, Doris Schroeder & Rowena Rodrigues - 2022 - Springer Verlag.
    This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. (...)
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  15.  77
    The ethics of artificial intelligence: superintelligence, life 3.0 and robot rights.Kati Tusinski Berg - 2018 - Journal of Media Ethics 33 (3):151-153.
  16.  82
    From posthumanism to ethics of artificial intelligence.Rajakishore Nath & Riya Manna - 2021 - AI and Society:1-12.
    Posthumanism is one of the well-known and significant concepts in the present day. It impacted numerous contemporary fields like philosophy, literary theories, art, and culture for the last few decades. The movement has been concentrated around the technological development of present days due to industrial advancement in society and the current proliferated daily usage of technology. Posthumanism indicated a deconstruction of our radical conception of ‘human’, and it further shifts our societal value alignment system to a novel dimension. The majority (...)
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  17.  19
    From posthumanism to ethics of artificial intelligence.Rajakishore Nath & Riya Manna - 2023 - AI and Society 38 (1):185-196.
    Posthumanism is one of the well-known and significant concepts in the present day. It impacted numerous contemporary fields like philosophy, literary theories, art, and culture for the last few decades. The movement has been concentrated around the technological development of present days due to industrial advancement in society and the current proliferated daily usage of technology. Posthumanism indicated a deconstruction of our radical conception of ‘human’, and it further shifts our societal value alignment system to a novel dimension. The majority (...)
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  18.  31
    The Future Ethics of Artificial Intelligence in Medicine: Making Sense of Collaborative Models.Torbjørn Gundersen & Kristine Bærøe - 2022 - Science and Engineering Ethics 28 (2):1-16.
    This article examines the role of medical doctors, AI designers, and other stakeholders in making applied AI and machine learning ethically acceptable on the general premises of shared decision-making in medicine. Recent policy documents such as the EU strategy on trustworthy AI and the research literature have often suggested that AI could be made ethically acceptable by increased collaboration between developers and other stakeholders. The article articulates and examines four central alternative models of how AI can be designed and applied (...)
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  19.  21
    The Ethics of Artificial Intelligence: Review of Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI by R. Blackman; Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges by B.C. Stahl, D. Schroeder, and R. Rodrigues; and AI Ethics by M. Coeckelbergh. [REVIEW]Christian Goglin - 2023 - Journal of Business Ethics 188 (3):623-627.
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  20.  9
    The Ethics of Artificial Intelligence: Review of Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI by R. Blackman; Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges by B.C. Stahl, D. Schroeder, and R. Rodrigues; and AI Ethics by M. Coeckelbergh: Ethical Machines: Your concise guide to totally unbiased, transparent, and respectful AI, Harvard Business Review Press, 2022, 224 pp., ISBN 9781647822811; Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges, Springer Nature Switzerland AG, 2023, 116 pp., ISBN 9783031170409; AI Ethics, The MIT Press, 2020, 248 pp., ISBN 9780262538190. [REVIEW]Christian Goglin - 2023 - Journal of Business Ethics 188 (3):623-627.
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  21.  12
    Introduction: Understanding the Ethics of Artificial Intelligence for the Sustainable Development Goals.Francesca Mazzi & Luciano Floridi - 2023 - In Francesca Mazzi & Luciano Floridi (eds.), The Ethics of Artificial Intelligence for the Sustainable Development Goals. Springer Verlag. pp. 3-7.
    Artificial intelligence (AI) as a general-purpose technology has great potential for advancing the United Nations Sustainable Development Goals (SDGs). However, the AI×SDGs phenomenon is still in its infancy in terms of diffusion, analysis, and empirical evidence. Moreover, a scalable adoption of AI solutions to advance the achievement of the SDGs requires private and public actors to engage in coordinated actions that have been analysed only partially so far. This volume provides the first overview of the AI×SDGs phenomenon and (...)
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  22.  11
    Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance.John D. Kelleher, Marguerite Barry & Aphra Kerr - 2020 - Big Data and Society 7 (1).
    This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications (...)
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  23.  22
    Images of Artificial Intelligence: a Blind Spot in AI Ethics.Alberto Romele - 2022 - Philosophy and Technology 35 (1):1-19.
    This paper argues that the AI ethics has generally neglected the issues related to the science communication of AI. In particular, the article focuses on visual communication about AI and, more specifically, on the use of certain stock images in science communication about AI — in particular, those characterized by an excessive use of blue color and recurrent subjects, such as androgyne faces, half-flesh and half-circuit brains, and variations on Michelangelo’s The Creation of Adam. In the first section, the (...)
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  24.  19
    Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues.Wendy A. Rogers, Heather Draper & Stacy M. Carter - 2021 - Bioethics 35 (7):623-633.
    Bioethics, Volume 35, Issue 7, Page 623-633, September 2021.
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  25. The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work.Sarah Bankins & Paul Formosa - 2023 - Journal of Business Ethics (4):1-16.
    The increasing workplace use of artificially intelligent (AI) technologies has implications for the experience of meaningful human work. Meaningful work refers to the perception that one’s work has worth, significance, or a higher purpose. The development and organisational deployment of AI is accelerating, but the ways in which this will support or diminish opportunities for meaningful work and the ethical implications of these changes remain under-explored. This conceptual paper is positioned at the intersection of the meaningful work and ethical AI (...)
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  26. Inside the Ethics of Artificial Intelligence: For a Decentralized Approach. Interview of James Brusseau by Marco Emanuele.James Brusseau & Marco Emanuele - 2021 - The Science of Where.
    Interview by Marco Emanuele of James Brusseau. October 27, 2021, The Science of Where. Topics include: AI ethics, Accelerationism, Decentralization.
     
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  27. Kantian Moral Agency and the Ethics of Artificial Intelligence.Riya Manna & Rajakishore Nath - 2021 - Problemos 100:139-151.
    This paper discusses the philosophical issues pertaining to Kantian moral agency and artificial intelligence. Here, our objective is to offer a comprehensive analysis of Kantian ethics to elucidate the non-feasibility of Kantian machines. Meanwhile, the possibility of Kantian machines seems to contend with the genuine human Kantian agency. We argue that in machine morality, ‘duty’ should be performed with ‘freedom of will’ and ‘happiness’ because Kant narrated the human tendency of evaluating our ‘natural necessity’ through ‘happiness’ as (...)
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  28.  5
    Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance.Alexander Blanchard, Christopher Thomas & Mariarosaria Taddeo - forthcoming - AI and Society:1-14.
    The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of ethical requirements for specifying the guidance. In this article, we (...)
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    Social Agency for Artifacts: Chatbots and the Ethics of Artificial Intelligence.John Symons & Syed AbuMusab - 2024 - Digital Society 3:1-28.
    Ethically significant consequences of artificially intelligent artifacts will stem from their effects on existing social relations. Artifacts will serve in a variety of socially important roles—as personal companions, in the service of elderly and infirm people, in commercial, educational, and other socially sensitive contexts. The inevitable disruptions that these technologies will cause to social norms, institutions, and communities warrant careful consideration. As we begin to assess these effects, reflection on degrees and kinds of social agency will be required to make (...)
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  30.  22
    The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence.Jake B. Telkamp & Marc H. Anderson - 2022 - Journal of Business Ethics 178 (4):961-976.
    Organizations are making massive investments in artificial intelligence, and recent demonstrations and achievements highlight the immense potential for AI to improve organizational and human welfare. Yet realizing the potential of AI necessitates a better understanding of the various ethical issues involved with deciding to use AI, training and maintaining it, and allowing it to make decisions that have moral consequences. People want organizations using AI and the AI systems themselves to behave ethically, but ethical behavior means different things (...)
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  31.  85
    The ethical use of artificial intelligence in human resource management: a decision-making framework.Sarah Bankins - 2021 - Ethics and Information Technology 23 (4):841-854.
    Artificial intelligence is increasingly inputting into various human resource management functions, such as sourcing job applicants and selecting staff, allocating work, and offering personalized career coaching. While the use of AI for such tasks can offer many benefits, evidence suggests that without careful and deliberate implementation its use also has the potential to generate significant harms. This raises several ethical concerns regarding the appropriateness of AI deployment to domains such as HRM, which directly deal with managing sometimes sensitive (...)
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  32. Social choice ethics in artificial intelligence.Seth D. Baum - 2020 - AI and Society 35 (1):165-176.
    A major approach to the ethics of artificial intelligence is to use social choice, in which the AI is designed to act according to the aggregate views of society. This is found in the AI ethics of “coherent extrapolated volition” and “bottom–up ethics”. This paper shows that the normative basis of AI social choice ethics is weak due to the fact that there is no one single aggregate ethical view of society. Instead, the design (...)
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  33.  14
    The Ethical Dimension of Artificial Intelligence: Biometric Identity and Human Behaviour.Ughetta Vergari & Gianpasquale Preite - 2023 - Humana Mente 16 (44).
    The debate over the ethical repercussions of Artificial Intelligence (AI) cannot disregard the “sum total of ideas that bring into evidence a system of ethical reference that justifies that profound dimension of technology as a central element in the attainment of a ‘finalized’ perfection of man”(Galvan 2001). This implies an analysis of the ancient processes that might help to understand the complexities of contemporary society and the new challenges posed to human development. Being at the core of the (...)
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  34.  18
    Defending explicability as a principle for the ethics of artificial intelligence in medicine.Jonathan Adams - 2023 - Medicine, Health Care and Philosophy 26 (4):615-623.
    The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these technologies are applied, including in the medical domain, and one that has no obvious solution. This paper examines the proposal, made by Luciano Floridi and colleagues, to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of ‘principlism’. It specifically responds to a recent set of (...)
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  35. Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson’s Disease.Anita Ho, Itai Bavli, Ravneet Mahal & Martin J. McKeown - forthcoming - AJOB Empirical Bioethics.
    Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system’s ability to care for people with chronic and degenerative conditions, including Parkinson’s Disease (PD). This paper reports the themes and lessons derived from a qualitative study with people living with PD, family caregivers, and health care providers regarding the ethical dimensions of using AI to monitor, assess, and predict PD symptoms and progression. Thematic analysis identified ethical concerns at (...)
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  36.  32
    Charting the Terrain of Artificial Intelligence: a Multidimensional Exploration of Ethics, Agency, and Future Directions.Partha Pratim Ray & Pradip Kumar Das - 2023 - Philosophy and Technology 36 (2):1-7.
    This comprehensive analysis dives deep into the intricate interplay between artificial intelligence (AI) and human agency, examining the remarkable capabilities and inherent limitations of large language models (LLMs) such as GPT-3 and ChatGPT. The paper traces the complex trajectory of AI's evolution, highlighting its operation based on statistical pattern recognition, devoid of self-consciousness or innate comprehension. As AI permeates multiple spheres of human life, it raises substantial ethical, legal, and societal concerns that demand immediate attention and deliberation. The (...)
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  37.  92
    The prospect of artificial-intelligence supported ethics review.Philip J. Nickel - forthcoming - Ethics and Human Research.
    The burden of research ethics review falls not just on researchers, but on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence, it has recently become possible to teach models to support human judgment, for example by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight. (...)
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  38.  39
    Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?Frank Ursin, Cristian Timmermann & Florian Steger - 2022 - Bioethics 36 (2):143-153.
    Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of (...)
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  39.  7
    Promoting Ethical Deployment of Artificial Intelligence and Machine Learning in Healthcare.Kayte Spector-Bagdady, Vasiliki Rahimzadeh, Kaitlyn Jaffe & Jonathan Moreno - 2022 - American Journal of Bioethics 22 (5):4-7.
    The ethics of artificial intelligence and machine learning exemplify the conceptual struggle between applying familiar pathways of ethical analysis versus generating novel strategies. Mel...
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  40.  44
    Ethics and Artificial Intelligence: Suicide Prevention on Facebook.Norberto Nuno Gomes de Andrade, Dave Pawson, Dan Muriello, Lizzy Donahue & Jennifer Guadagno - 2018 - Philosophy and Technology 31 (4):669-684.
    There is a death by suicide in the world every 40 seconds, and suicide is the second leading cause of death for 15–29-year-olds. Experts say that one of the best ways to prevent suicide is for those in distress to hear from people who care about them. Facebook is in a unique position—through its support for networks and friendships on the site—to help connect a person in these difficult situations with people who can support them. Connecting people with the resources (...)
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  41.  28
    Organisational responses to the ethical issues of artificial intelligence.Bernd Carsten Stahl, Josephina Antoniou, Mark Ryan, Kevin Macnish & Tilimbe Jiya - 2022 - AI and Society 37 (1):23-37.
    The ethics of artificial intelligence is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the (...)
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  42. The effective and ethical development of artificial intelligence: An opportunity to improve our wellbeing.James Maclaurin, Toby Walsh, Neil Levy, Genevieve Bell, Fiona Wood, Anthony Elliott & Iven Mareels - 2019 - Melbourne VIC, Australia: Australian Council of Learned Academies.
    This project has been supported by the Australian Government through the Australian Research Council (project number CS170100008); the Department of Industry, Innovation and Science; and the Department of Prime Minister and Cabinet. ACOLA collaborates with the Australian Academy of Health and Medical Sciences and the New Zealand Royal Society Te Apārangi to deliver the interdisciplinary Horizon Scanning reports to government. The aims of the project which produced this report are: 1. Examine the transformative role that artificial intelligence may (...)
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  43.  9
    Ethical Aspects of Artificial Intelligence Functioning in the XXIst Century.Vira Dodonova, Roman Dodonov & Kateryna Gorbenko - 2023 - Studia Universitatis Babeş-Bolyai Philosophia 68 (1):161-173.
    "The article is devoted to the ethical aspects of artificial intelligence functioning. The problem of the safe coexistence of man and artificial intelligence is taking on increasing importance. The definition of artificial intelligence and the explanation of the difference between weak, strong artificial intelligence and super-intelligence are given. The first ethical problem of artificial intelligence functioning is the existential question of human redundancy due to the spread of artificial (...)
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  44.  49
    Ethical implications of text generation in the age of artificial intelligence.Laura Illia, Elanor Colleoni & Stelios Zyglidopoulos - 2022 - Business Ethics, the Environment and Responsibility 32 (1):201-210.
    We are at a turning point in the debate on the ethics of Artificial Intelligence (AI) because we are witnessing the rise of general-purpose AI text agents such as GPT-3 that can generate large-scale highly refined content that appears to have been written by a human. Yet, a discussion on the ethical issues related to the blurring of the roles between humans and machines in the production of content in the business arena is lacking. In this conceptual (...)
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  45.  37
    Ethical Challenges of Artificial Intelligence in Health Care: A Narrative Review.Aaron T. Hui, Shawn S. Ahn, Carolyn T. Lye & Jun Deng - 2021 - Ethics in Biology, Engineering and Medicine 12 (1):55-71.
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  46.  11
    Reseña de: Liao, M. (ed.), Ethics of Artificial Intelligence, New York: Oxford University Press, 2020.Germán Massaguer Gómez - 2021 - Dilemata 35:79-83.
  47. Fundamental Issues of Artificial Intelligence.Vincent C. Müller (ed.) - 2016 - Cham: Springer.
    [Müller, Vincent C. (ed.), (2016), Fundamental issues of artificial intelligence (Synthese Library, 377; Berlin: Springer). 570 pp.] -- This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises (...)
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  48. AIonAI: A Humanitarian Law of Artificial Intelligence and Robotics.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (1):29-40.
    The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibility of rational and sentient robots. The ethics and morals deriving from this technological prospect have been considered in the philosophy of artificial intelligence, the design of automatons with roboethics and the contemplation of machine ethics through the concept of artificial moral agents. Across these categories, the robotics laws first proposed by Isaac Asimov in the twentieth century remain well-recognised and esteemed due (...)
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  49.  20
    The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts.Mohammad Hosseini, David B. Resnik & Kristi Holmes - 2023 - Research Ethics 19 (4):449-465.
    In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as Science, have banned the use of LLMs because of the ethical problems they raise concerning responsible authorship. We argue that this is not a reasonable response to the moral conundrums created by the use of LLMs because bans are unenforceable and (...)
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  50. Risks of artificial intelligence.Vincent C. Müller (ed.) - 2016 - CRC Press - Chapman & Hall.
    Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is (...)
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