Results for 'AI ethics'

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  1.  31
    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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  2.  22
    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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  3.  9
    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 technologies —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,, into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and (...)
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  4.  98
    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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  5.  20
    Operationalising AI ethics: barriers, enablers and next steps.Jessica Morley, Libby Kinsey, Anat Elhalal, Francesca Garcia, Marta Ziosi & Luciano Floridi - forthcoming - AI and Society:1-13.
    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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  6.  29
    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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  7.  8
    Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda.Irene Nandutu, Marcellin Atemkeng & Patrice Okouma - forthcoming - AI and Society:1-13.
    With the increased use of Artificial Intelligence 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 current AI Ethics and AI Ethics issues in wildlife conservation, Initiatives Stakeholders in AI for wildlife conservation should consider integrating AI Ethics in wildlife conservation. We find that the existing (...)
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  8.  4
    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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  9.  23
    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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  10.  16
    Operationalising AI ethics: how are companies bridging the gap between practice and principles? An exploratory study.Javier Camacho Ibáñez & Mónica Villas Olmeda - forthcoming - AI and Society:1-25.
    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. The Concept of Accountability in AI Ethics and Governance.Theodore M. Lechterman - forthcoming - In Justin Bullock, Y. C. Chen, Johannes Himmelreich, V. Hudson, M. Korinek, M. Young & B. Zhang (eds.), The Oxford Handbook of AI Governance. Oxford: 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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  12.  92
    From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles Into Practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...)
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  13.  5
    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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  14.  29
    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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  15.  36
    AI ethics – a review of three recent publications.Johann-Christian Põder - 2021 - AI and Society 36 (2):661-664.
  16.  1
    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.  94
    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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  18. 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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  19. 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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  20.  15
    Overcoming Barriers to Cross-Cultural Cooperation in AI Ethics and Governance.Seán S. ÓhÉigeartaigh, Jess Whittlestone, Yang Liu, Yi Zeng & Zhe Liu - 2020 - Philosophy and Technology 33 (4):571-593.
    Achieving the global benefits of artificial intelligence will require international cooperation on many areas of governance and ethical standards, while allowing for diverse cultural perspectives and priorities. There are many barriers to achieving this at present, including mistrust between cultures, and more practical challenges of coordinating across different locations. This paper focuses particularly on barriers to cooperation between Europe and North America on the one hand and East Asia on the other, as regions which currently have an outsized impact on (...)
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  21.  1
    AI ethics inflation, Delphi and the restart of theory.Peter Seele - forthcoming - AI and Society:1-3.
  22. 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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  23. AI4People—an Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  24.  42
    Ethics as a service: a pragmatic operationalisation of AI ethics.Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines 31 (2):239–256.
    As the range of potential uses for Artificial Intelligence, in particular machine learning, 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 the theory (...)
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  25.  48
    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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  26.  3
    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.
    What counts as a good decision depends on the domain. In diagnostic imaging, for instance, a good decision involves diagnosing cancer if and only if the patient has cancer. In clinical ethics, good...
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  27.  1
    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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  28.  9
    Marc Coeckelbergh, AI Ethics, MIT Press, 2021: Ethics of AI: The Philosophical Challenges. [REVIEW]Filippo Santoni de Sio - 2021 - Science and Engineering Ethics 27 (4):1-6.
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  29.  29
    On the Ethics of AI Ethics.Udo Schuklenk - 2020 - Bioethics 34 (2):146-147.
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  30.  15
    Introduction to AI, Ethics & Society.Jared Bielby, Rachel Fischer & Geoffrey Rockwell - 2020 - International Review of Information Ethics 28.
  31.  29
    From Principles to Practice. An Interdisciplinary Framework to Operationalise AI Ethics.Lajla Fetic, Torsten Fleischer, Paul Grünke, Thilo Hagendorf, Sebastian Hallensleben, Marc Hauer, Michael Herrmann, Rafaela Hillerbrand, Carla Hustedt, Christoph Hubig, Andreas Kaminski, Tobias Krafft, Wulf Loh, Philipp Otto & Michael Puntschuh - 2020 - Bertelsmann-Stiftung.
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  32.  21
    Organic and dynamic tool for use with knowledge base of AI ethics for promoting engineers’ practice of ethical AI design.Kaira Sekiguchi & Koichi Hori - 2020 - AI and Society 35 (1):51-71.
    In recent years, ethical questions related to the development of artificial intelligence are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers’ practice of ethical AI design to realize further social values. Here, “organic” means that the tool deals with complex relationships among (...)
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  33.  4
    Correction To: Mark Coeckelbergh, AI Ethics, MIT Press, 2021: Ethics of AI: The Philosophical Challenges.Filippo Santoni de Sio - 2021 - Science and Engineering Ethics 27 (5):1-1.
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  34.  9
    Getting into the engine room: a blueprint to investigate the shadowy steps of AI ethics.Johan Rochel & Florian Evéquoz - forthcoming - AI and Society:1-14.
    Enacting an AI system typically requires three iterative phases where AI engineers are in command: selection and preparation of the data, selection and configuration of algorithmic tools, and fine-tuning of the different parameters on the basis of intermediate results. Our main hypothesis is that these phases involve practices with ethical questions. This paper maps these ethical questions and proposes a way to address them in light of a neo-republican understanding of freedom, defined as absence of domination. We thereby identify different (...)
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  35.  12
    Randomised Controlled Trials in Medical AI: Ethical Considerations.Thomas Grote - forthcoming - Journal of Medical Ethics:medethics-2020-107166.
    In recent years, there has been a surge of high-profile publications on applications of artificial intelligence systems for medical diagnosis and prognosis. While AI provides various opportunities for medical practice, there is an emerging consensus that the existing studies show considerable deficits and are unable to establish the clinical benefit of AI systems. Hence, the view that the clinical benefit of AI systems needs to be studied in clinical trials—particularly randomised controlled trials —is gaining ground. However, an issue that has (...)
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  36.  14
    Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - forthcoming - Minds and Machines:1-5.
    In the original publication of this article, the Table 1 has been published incorrectly. Now the same has been provided in this correction.
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  37.  23
    Social Impact Under Severe Uncertainty: The Role of Neuroethicists at the Intersection of Neuroscience, AI, Ethics, and Policymaking.Kristine Bærøe & Torbjørn Gundersen - 2019 - American Journal of Bioethics Neuroscience 10 (3):117-119.
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  38.  3
    Enter the metrics: critical theory and organizational operationalization of AI ethics.Joris Krijger - forthcoming - AI and Society:1-11.
    As artificial intelligence deployment is growing exponentially, questions have been raised whether the developed AI ethics discourse is apt to address the currently pressing questions in the field. Building on critical theory, this article aims to expand the scope of AI ethics by arguing that in addition to ethical principles and design, the organizational dimension plays a pivotal role in the operationalization of ethics in AI development and deployment contexts. Through the prism of critical theory, and the (...)
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  39.  90
    Ethics-Based Auditing to Develop Trustworthy AI.Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines.
    A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible (...)
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  40.  67
    Ethics-based auditing to develop trustworthy AI.Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines 31 (2):323–327.
    A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible (...)
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  41.  7
    Embedded Ethics: A Proposal for Integrating Ethics Into the Development of Medical AI.Alena Buyx, Sami Haddadin, Ruth Müller, Daniel Tigard, Amelia Fiske & Stuart McLennan - 2022 - BMC Medical Ethics 23 (1):1-10.
    The emergence of ethical concerns surrounding artificial intelligence has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI developers can be practically assisted to anticipate, identify and address ethical issues regarding AI technologies. This is particularly important in the development of AI intended for healthcare settings, where applications will often interact directly with patients in various states of vulnerability. In this paper, (...)
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  42.  10
    Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (3):457-461.
    In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.
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  43.  6
    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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  44.  3
    A Neo-Republican Critique of AI Ethics.Jonne Maas - 2022 - Journal of Responsible Technology 9:100022.
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  45.  4
    In Defence of Principlism in AI Ethics and Governance.Elizabeth Seger - 2022 - Philosophy and Technology 35 (2):1-7.
    It is widely acknowledged that high-level AI principles are difficult to translate into practices via explicit rules and design guidelines. Consequently, many AI research and development groups that claim to adopt ethics principles have been accused of unwarranted “ethics washing”. Accordingly, there remains a question as to if and how high-level principles should be expected to influence the development of safe and beneficial AI. In this short commentary I discuss two roles high-level principles might play in AI (...) and governance. The first and most often discussed “start-point” function quickly succumbs to the complaints outlined above. I suggest, however, that a second “cultural influence” function is where the primary value of high-level principles lies. (shrink)
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  46. AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies.James Brusseau - manuscript
    Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG (...)
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  47. In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
    One of the main difficulties in assessing artificial intelligence is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI. Trust is one of the most important and defining activities in human relationships, so proposing that AI should be trusted, is a very (...)
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  48. A Virtue-Based Framework to Support Putting AI Ethics into Practice.Thilo Hagendorff - 2022 - Philosophy and Technology 35 (3):1-24.
    Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all (...)
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  49.  58
    Ethical Funding for Trustworthy AI: Proposals to Address the Responsibilities of Funders to Ensure That Projects Adhere to Trustworthy AI Practice.Marie Oldfield - 2021 - AI and Ethics 1 (1):1.
    AI systems that demonstrate significant bias or lower than claimed accuracy, and resulting in individual and societal harms, continue to be reported. Such reports beg the question as to why such systems continue to be funded, developed and deployed despite the many published ethical AI principles. This paper focusses on the funding processes for AI research grants which we have identified as a gap in the current range of ethical AI solutions such as AI procurement guidelines, AI impact assessments and (...)
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  50.  7
    Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms.Benedetta Giovanola & Simona Tiribelli - forthcoming - AI and Society.
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