Results for 'AI ethics'

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  1. Why AI Ethics Is a Critical Theory.Rosalie Waelen - 2022 - Philosophy and Technology 35 (1):1-16.
    The ethics of artificial intelligence is an upcoming field of research that deals with the ethical assessment of emerging AI applications and addresses the new kinds of moral questions that the advent of AI raises. The argument presented in this article is that, even though there exist different approaches and subfields within the ethics of AI, the field resembles a critical theory. Just like a critical theory, the ethics of AI aims to diagnose as well as change (...)
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  2. Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI’s Diffusion versus OpenAI’s Dall-E.James Brusseau - manuscript
    One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI’s Diffusion and OpenAI’s Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as (...)
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  3. AI ethics: the case for including animals.Peter Singer - 2022 - AI and Ethics 2 (3).
    The ethics of artificial intelligence, or AI ethics, is a rapidly growing field, and rightly so. While the range of issues and groups of stakeholders concerned by the field of AI ethics is expanding, with speculation about whether it extends even to the machines themselves, there is a group of sentient beings who are also affected by AI, but are rarely mentioned within the field of AI ethics—the nonhuman animals. This paper seeks to explore the kinds (...)
     
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  4.  90
    Operationalising AI ethics: barriers, enablers and next steps.Jessica Morley, Libby Kinsey, Anat Elhalal, Francesca Garcia, Marta Ziosi & Luciano Floridi - 2023 - AI and Society 38 (1):411-423.
    By mid-2019 there were more than 80 AI ethics guides available in the public domain. Despite this, 2020 saw numerous news stories break related to ethically questionable uses of AI. In part, this is because AI ethics theory remains highly abstract, and of limited practical applicability to those actually responsible for designing algorithms and AI systems. Our previous research sought to start closing this gap between the ‘what’ and the ‘how’ of AI ethics through the creation of (...)
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  5.  61
    Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms.Sábëlo Mhlambi & Simona Tiribelli - 2023 - Topoi 42 (3):867-880.
    Many popular artificial intelligence (AI) ethics frameworks center the principle of autonomy as necessary in order to mitigate the harms that might result from the use of AI within society. These harms often disproportionately affect the most marginalized within society. In this paper, we argue that the principle of autonomy, as currently formalized in AI ethics, is itself flawed, as it expresses only a mainstream mainly liberal notion of autonomy as rational self-determination, derived from Western traditional philosophy. In (...)
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  6.  88
    AI ethics: from principles to practice.Jianlong Zhou & Fang Chen - 2023 - AI and Society 38 (6):2693-2703.
    Much of the current work on AI ethics has lost its connection to the real-world impact by making AI ethics operable. There exist significant limitations of hyper-focusing on the identification of abstract ethical principles, lacking effective collaboration among stakeholders, and lacking the communication of ethical principles to real-world applications. This position paper presents challenges in making AI ethics operable and highlights key obstacles to AI ethics impact. A preliminary practice example is provided to initiate practical implementations (...)
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  7.  97
    AI ethics should not remain toothless! A call to bring back the teeth of ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. (...)
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  8. Proposing Central Asian AI Ethics Principles: A Multilevel Approach for Responsible AI.Ammar Younas & Yi Zeng - manuscript
    This paper puts forth Central Asian AI Ethics Principles and proposes a layered strategy tailored for the development of ethical principles in the field of artificial intelligence (AI) in Central Asian countries. This approach includes the customization of AI ethics principles to resonate with local nuances, the formulation of national and regional-level AI Ethics principles, and the implementation of subject-specific principles. While countering the narrative of ineffectiveness of the AI Ethics principles, this paper underscores the importance (...)
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  9.  19
    Emotional AI, Ethics, and Japanese Spice: Contributing Community, Wholeness, Sincerity, and Heart.Andrew McStay - 2021 - Philosophy and Technology 34 (4):1781-1802.
    This paper assesses leading Japanese philosophical thought since the onset of Japan’s modernity: namely, from the Meiji Restoration onwards. It argues that there are lessons of global value for AI ethics to be found from examining leading Japanese philosophers of modernity and ethics, each of whom engaged closely with Western philosophical traditions. Turning to these philosophers allows us to advance from what are broadly individualistically and Western-oriented ethical debates regarding emergent technologies that function in relation to AI, by (...)
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  10.  55
    Operationalising AI ethics: how are companies bridging the gap between practice and principles? An exploratory study.Javier Camacho Ibáñez & Mónica Villas Olmeda - 2022 - AI and Society 37 (4):1663-1687.
    Despite the increase in the research field of ethics in artificial intelligence, most efforts have focused on the debate about principles and guidelines for responsible AI, but not enough attention has been given to the “how” of applied ethics. This paper aims to advance the research exploring the gap between practice and principles in AI ethics by identifying how companies are applying those guidelines and principles in practice. Through a qualitative methodology based on 22 semi-structured interviews and (...)
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  11.  24
    AI ethics as subordinated innovation network.James Steinhoff - forthcoming - AI and Society:1-13.
    AI ethics is proposed, by the Big Tech companies which lead AI research and development, as the cure for diverse social problems posed by the commercialization of data-intensive technologies. It aims to reconcile capitalist AI production with ethics. However, AI ethics is itself now the subject of wide criticism; most notably, it is accused of being no more than “ethics washing” a cynical means of dissimulation for Big Tech, while it continues its business operations unchanged. This (...)
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  12.  36
    Implementing AI Ethics in the Design of AI-assisted Rescue Robots.Désirée Martin, Michael W. Schmidt & Rafaela Hillerbrand - 2023 - Ieee International Symposium on Ethics in Engineering, Science, and Technology (Ethics).
    For implementing ethics in AI technology, there are at least two major ethical challenges. First, there are various competing AI ethics guidelines and consequently there is a need for a systematic overview of the relevant values that should be considered. Second, if the relevant values have been identified, there is a need for an indicator system that helps assessing if certain design features are positively or negatively affecting their implementation. This indicator system will vary with regard to specific (...)
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  13. Dubito Ergo Sum: Exploring AI Ethics.Viktor Dörfler & Giles Cuthbert - 2024 - Hicss 57: Hawaii International Conference on System Sciences, Honolulu, Hi.
    We paraphrase Descartes’ famous dictum in the area of AI ethics where the “I doubt and therefore I am” is suggested as a necessary aspect of morality. Therefore AI, which cannot doubt itself, cannot possess moral agency. Of course, this is not the end of the story. We explore various aspects of the human mind that substantially differ from AI, which includes the sensory grounding of our knowing, the act of understanding, and the significance of being able to doubt (...)
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  14.  40
    Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda.Irene Nandutu, Marcellin Atemkeng & Patrice Okouma - 2023 - AI and Society 38 (1):245-257.
    With the increased use of Artificial Intelligence (AI) in wildlife conservation, issues around whether AI-based monitoring tools in wildlife conservation comply with standards regarding AI Ethics are on the rise. This review aims to summarise current debates and identify gaps as well as suggest future research by investigating (1) current AI Ethics and AI Ethics issues in wildlife conservation, (2) Initiatives Stakeholders in AI for wildlife conservation should consider integrating AI Ethics in wildlife conservation. We find (...)
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  15.  80
    AI ethics and the banality of evil.Payman Tajalli - 2021 - Ethics and Information Technology 23 (3):447-454.
    In this paper, I draw on Hannah Arendt’s notion of ‘banality of evil’ to argue that as long as AI systems are designed to follow codes of ethics or particular normative ethical theories chosen by us and programmed in them, they are Eichmanns destined to commit evil. Since intelligence alone is not sufficient for ethical decision making, rather than strive to program AI to determine the right ethical decision based on some ethical theory or criteria, AI should be concerned (...)
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  16.  45
    An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees.Mark Ryan, Eleni Christodoulou, Josephina Antoniou & Kalypso Iordanou - forthcoming - AI and Society:1-16.
    Artificial intelligence ethics requires a united approach from policymakers, AI companies, and individuals, in the development, deployment, and use of these technologies. However, sometimes discussions can become fragmented because of the different levels of governance or because of different values, stakeholders, and actors involved. Recently, these conflicts became very visible, with such examples as the dismissal of AI ethics researcher Dr. Timnit Gebru from Google and the resignation of whistle-blower Frances Haugen from Facebook. Underpinning each debacle was a (...)
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  17. The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI (...)
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  18. The Concept of Accountability in AI Ethics and Governance.Theodore Lechterman - 2023 - In Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young & Baobao Zhang (eds.), The Oxford Handbook of AI Governance. Oxford University Press.
    Calls to hold artificial intelligence to account are intensifying. Activists and researchers alike warn of an “accountability gap” or even a “crisis of accountability” in AI. Meanwhile, several prominent scholars maintain that accountability holds the key to governing AI. But usage of the term varies widely in discussions of AI ethics and governance. This chapter begins by disambiguating some different senses and dimensions of accountability, distinguishing it from neighboring concepts, and identifying sources of confusion. It proceeds to explore the (...)
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  19.  26
    AI Ethics in Higher Education: Insights from Africa and Beyond.Caitlin C. Corrigan, Simon Atuah Asakipaam, Jerry John Kponyo & Christoph Luetge (eds.) - 2023 - Springer Verlag.
    This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to (...)
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  20.  46
    From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain.Christopher Thomas, Alexander Blanchard & Mariarosaria Taddeo - 2024 - Philosophy and Technology 37 (1):1-21.
    This article provides a methodology for the interpretation of AI ethics principles to specify ethical criteria for the development and deployment of AI systems in high-risk domains. The methodology consists of a three-step process deployed by an independent, multi-stakeholder ethics board to: (1) identify the appropriate level of abstraction for modelling the AI lifecycle; (2) interpret prescribed principles to extract specific requirements to be met at each step of the AI lifecycle; and (3) define the criteria to inform (...)
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  21.  25
    AI ethics with Chinese characteristics? Concerns and preferred solutions in Chinese academia.Junhua Zhu - forthcoming - AI and Society:1-14.
    Since Chinese scholars are playing an increasingly important role in shaping the national landscape of discussion on AI ethics, understanding their ethical concerns and preferred solutions is essential for global cooperation on governance of AI. This article, therefore, provides the first elaborated analysis on the discourse on AI ethics in Chinese academia, via a systematic literature review. This article has three main objectives. to identify the most discussed ethical issues of AI in Chinese academia and those being left (...)
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  22.  13
    Moral Relevance Approach for AI Ethics.Shuaishuai Fang - 2024 - Philosophies 9 (2):42.
    Artificial intelligence (AI) ethics is proposed as an emerging and interdisciplinary field concerned with addressing the ethical issues of AI, such as the issue of moral decision-making. The conflict between our intuitive moral judgments constitutes an inevitable obstacle to decision-making in AI ethics. This article outlines the Moral Relevance Approach, which could provide a considerable moral foundation for AI ethics. Taking moral relevance as the precondition of the consequentialist principles, the Moral Relevance Approach aims to plausibly consider (...)
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  23.  37
    AI ethics and data governance in the geospatial domain of Digital Earth.Marina Micheli, Caroline M. Gevaert, Mary Carman, Max Craglia, Emily Daemen, Rania E. Ibrahim, Alexander Kotsev, Zaffar Mohamed-Ghouse, Sven Schade, Ingrid Schneider, Lea A. Shanley, Alessio Tartaro & Michele Vespe - 2022 - Big Data and Society 9 (2).
    Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the capacity to collect and process complex amounts of geospatial data. Yet, the widespread techno-optimism at the root of Digital Earth must now confront concerns over high-risk artificial intelligence systems and power asymmetries of a datafied society. In this commentary, we claim that not only can current debates about data (...)
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  24. Uses and Abuses of AI Ethics.Lily E. Frank & Michal Klincewicz - forthcoming - In David J. Gunkel (ed.), Handbook of the Ethics of AI. Edward Elgar Publishing.
    In this chapter we take stock of some of the complexities of the sprawling field of AI ethics. We consider questions like "what is the proper scope of AI ethics?" And "who counts as an AI ethicist?" At the same time, we flag several potential uses and abuses of AI ethics. These include challenges for the AI ethicist, including what qualifications they should have; the proper place and extent of futuring and speculation in the field; and the (...)
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  25.  38
    Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.Bernd Stahl, Kevin Macnish, Tilimbe Jiya, Laurence Brooks, Josephina Antoniou & Mark Ryan - 2021 - Science and Engineering Ethics 27 (2):1-29.
    This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety (...)
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  26.  48
    AI ethics inflation, Delphi and the restart of theory.Peter Seele - 2024 - AI and Society 39 (1):403-405.
  27. Is AI Ethics All Fluff?John Zerilli - forthcoming - In David Edmonds (ed.), Living with AI: Moral Challenges. Oxford University Press.
    The AI revolution provides a neat illustration of C.P. Snow's ideas regarding "the two cultures" and a timely opportunity to reflect on why mutual suspicion persists between those in the natural sciences, on the one hand, and the humanities (and to an extent the social sciences), on the other.
     
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  28. What is AI Ethics?Felix Lambrecht & Marina Moreno - forthcoming - American Philosophical Quarterly.
    Artificial intelligence (AI) is booming, and AI ethics is booming with it. Yet there is surprisingly little attention paid to what the discipline of AI ethics is and what it ought to be. This paper offers an ameliorative definition of AI ethics to fill this gap. We introduce and defend an original distinction between novel and applied research questions. A research question should count as AI ethics if and only if (i) it is novel or (ii) (...)
     
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  29. From the Ground Truth Up: Doing AI Ethics from Practice to Principles.James Brusseau - 2022 - AI and Society 37 (1):1-7.
    Recent AI ethics has focused on applying abstract principles downward to practice. This paper moves in the other direction. Ethical insights are generated from the lived experiences of AI-designers working on tangible human problems, and then cycled upward to influence theoretical debates surrounding these questions: 1) Should AI as trustworthy be sought through explainability, or accurate performance? 2) Should AI be considered trustworthy at all, or is reliability a preferable aim? 3) Should AI ethics be oriented toward establishing (...)
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  30.  44
    AI Ethics Is Not a Panacea.Stuart McLennan, Meredith M. Lee, Amelia Fiske & Leo Anthony Celi - 2020 - American Journal of Bioethics 20 (11):20-22.
    From machine learning and computer vision to robotics and natural language processing, the application of data science and artificial intelligence is expected to transform health care (Ce...
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  31. Idealism, realism, pragmatism: three modes of theorising within secular AI ethics.Rune Nyrup & Beba Cibralic - 2024 - In Barry Solemain & I. Glenn Cohen (eds.), Research Handbook on Health, AI and the Law. Edward Edgar Publishing. pp. 203-2018.
    Healthcare applications of AI have the potential to produce great benefit, but also come with significant ethical risks. This has brought ethics to the forefront of academic, policy and public debates about AI in healthcare. To help navigate these debates, we distinguish three general modes of ethical theorizing in contemporary secular AI ethics: (1) idealism, which seeks to articulate moral ideals that can be applied to concrete problems; (2) realism, which focuses on understanding complex social realities that underpin (...)
     
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  32. OVERVIEW OF AI ETHICS IN CONTEMPORARY EURASIAN SOCIETY.Ammar Younas - 2022 - 34 International Scientific Conference of Young Scientists Andquot;Science and Innovation": Collection of Scientific Papers: October 20, 2022.
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  33.  31
    Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice.Hannah Bleher & Matthias Braun - 2023 - Science and Engineering Ethics 29 (3):1-21.
    Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too principles-oriented and entail a theory–practice gap. Several applied ethical approaches try to prevent such a gap by conceptually translating ethical theory into practice. In this article, we explore how the currently most prominent approaches of AI ethics translate ethics into practice. Therefore, we examine three approaches to applied AI ethics: the embedded ethics approach, the ethically aligned approach, and the Value Sensitive Design (...)
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  34.  62
    The Ethics of AI Ethics. A Constructive Critique.Jan-Christoph Heilinger - 2022 - Philosophy and Technology 35 (3):1-20.
    The paper presents an ethical analysis and constructive critique of the current practice of AI ethics. It identifies conceptual substantive and procedural challenges and it outlines strategies to address them. The strategies include countering the hype and understanding AI as ubiquitous infrastructure including neglected issues of ethics and justice such as structural background injustices into the scope of AI ethics and making the procedures and fora of AI ethics more inclusive and better informed with regard to (...)
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  35.  1
    Catholic Health Care and AI Ethics: Algorithms for Human Flourishing.Michael Miller - 2022 - The Linacre Quarterly 89 (2):75-89.
    Artificial Intelligence (AI) contributes to common goods and common harms in our everyday lives. In light of the Collingridge dilemma, information about both the actual and potential harm of AI is explored and myths about AI are dispelled. Catholic health care is then presented as being in a unique position to exert its influence to model the use of AI systems that minimizes the risk of harm and promotes human flourishing and the common good.
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  36.  24
    AI ethics discourse: a call to embrace complexity, interdisciplinarity, and epistemic humility.Joshua C. Gellers - forthcoming - AI and Society:1-2.
  37.  26
    The Thailand national AI ethics guideline: an analysis.Soraj Hongladarom - 2021 - Journal of Information, Communication and Ethics in Society 19 (4):480-491.
    Purpose The paper aims to analyze the content of the newly published National AI Ethics Guideline in Thailand. Thailand’s ongoing political struggles and transformation has made it a good case to see how a policy document such as a guideline in AI ethics becomes part of the transformations. Looking at how the two are interrelated will help illuminate the political and cultural dynamics of Thailand as well as how governance of ethics itself is conceptualized. Design/methodology/approach The author (...)
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  38.  58
    AI Ethics: how can information ethics provide a framework to avoid usual conceptual pitfalls? An Overview.Frédérick Bruneault & Andréane Sabourin Laflamme - forthcoming - AI and Society:1-10.
    Artificial intelligence plays an important role in current discussions on information and communication technologies and new modes of algorithmic governance. It is an unavoidable dimension of what social mediations and modes of reproduction of our information societies will be in the future. While several works in artificial intelligence ethics address ethical issues specific to certain areas of expertise, these ethical reflections often remain confined to narrow areas of application, without considering the global ethical issues in which they are embedded. (...)
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  39.  56
    Meaning in Life in AI Ethics—Some Trends and Perspectives.Sven Nyholm & Markus Rüther - 2023 - Philosophy and Technology 36 (2):1-24.
    In this paper, we discuss the relation between recent philosophical discussions about meaning in life (from authors like Susan Wolf, Thaddeus Metz, and others) and the ethics of artificial intelligence (AI). Our goal is twofold, namely, to argue that considering the axiological category of meaningfulness can enrich AI ethics, on the one hand, and to portray and evaluate the small, but growing literature that already exists on the relation between meaning in life and AI ethics, on the (...)
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  40.  11
    AI Ethics and the Automation Industry: How Companies Respond to Questions About Ethics at the automatica Trade Fair 2022.Maximilian Braun, Daniel Tigard, Franziska Schönweitz, Laura Lucaj & Alexander von Janowski - 2022 - Philosophy and Technology 35 (3):1-6.
    Against the backdrop of a recent history of ongoing efforts to institutionalize ethics in ways that also target corporate environments, we asked ourselves: How do company representatives at the automatica 2022 trade fair in Munich respond to questions around ethics? To this end, we started an exploratory survey at the automatica 2022 in Munich, asking 22 company representatives at various booths from various industrial sectors the basic question: “Is there somebody in your company working on ethics?” Most (...)
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  41.  31
    Possibilities and ethical issues of entrusting nursing tasks to robots and artificial intelligence.Tomohide Ibuki, Ai Ibuki & Eisuke Nakazawa - forthcoming - Nursing Ethics.
    In recent years, research in robotics and artificial intelligence (AI) has made rapid progress. It is expected that robots and AI will play a part in the field of nursing and their role might broaden in the future. However, there are areas of nursing practice that cannot or should not be entrusted to robots and AI, because nursing is a highly humane practice, and therefore, there would, perhaps, be some practices that should not be replicated by robots or AI. Therefore, (...)
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  42.  34
    An Institutionalist Approach to AI Ethics: Justifying the Priority of Government Regulation over Self-Regulation.Thomas Ferretti - 2022 - Moral Philosophy and Politics 9 (2):239-265.
    This article explores the cooperation of government and the private sector to tackle the ethical dimension of artificial intelligence. The argument draws on the institutionalist approach in philosophy and business ethics defending a ‘division of moral labor’ between governments and the private sector. The goal and main contribution of this article is to explain how this approach can provide ethical guidelines to the AI industry and to highlight the limits of self-regulation. In what follows, I discuss three institutionalist claims. (...)
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  43. How to Use AI Ethically for Ethical Decision-Making.Joanna Demaree-Cotton, Brian D. Earp & Julian Savulescu - 2022 - American Journal of Bioethics 22 (7):1-3.
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  44. Ethics as a service: a pragmatic operationalisation of AI ethics.Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander & Luciano Floridi - manuscript
    As the range of potential uses for Artificial Intelligence (AI), in particular machine learning (ML), has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between (...)
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  45. Using Edge Cases to Disentangle Fairness and Solidarity in AI Ethics.James Brusseau - 2021 - AI and Ethics.
    Principles of fairness and solidarity in AI ethics regularly overlap, creating obscurity in practice: acting in accordance with one can appear indistinguishable from deciding according to the rules of the other. However, there exist irregular cases where the two concepts split, and so reveal their disparate meanings and uses. This paper explores two cases in AI medical ethics – one that is irregular and the other more conventional – to fully distinguish fairness and solidarity. Then the distinction is (...)
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  46. Sefer Mishpeṭe shekhenim: ṿe-hu madrikh le-hilkhot shekhenim.Eliʻezer Śimḥah ben Shelomoh Ṿais - 1997 - Bene-Beraḳ: Le-haśig et ha-sefer, R. Hofman.
     
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  47.  50
    AI ethics – a review of three recent publications.Johann-Christian Põder - 2021 - AI and Society 36 (2):661-664.
  48. Sefer Zikhron Yitsḥaḳ: śiḥot be-ʻinyene hashḳafah u-maḥshavah.Yitsḥaḳ ben Binyamin Zeʼev Ṿais - 1989 - Yerushalayim: Y. ben B.Z. Ṿais.
     
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  49. Ziḳe or: śiḥot hashḳafah u-musar.Yitsḥaḳ ben Binyamin Zeʼev Ṿais - 1993 - Yerushalayim: Y. ben B.Z. Ṿais.
     
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  50.  19
    A phenomenological perspective on AI ethical failures: The case of facial recognition technology.Yuni Wen & Matthias Holweg - forthcoming - AI and Society:1-18.
    As more and more companies adopt artificial intelligence to increase the efficiency and effectiveness of their products and services, they expose themselves to ethical crises and potentially damaging public controversy associated with its use. Despite the prevalence of AI ethical problems, most companies are strategically unprepared to respond effectively to the public. This paper aims to advance our empirical understanding of company responses to AI ethical crises by focusing on the rise and fall of facial recognition technology. Specifically, through a (...)
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