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  1. Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement.Trystan S. Goetze - 2022 - Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22).
    When a computer system causes harm, who is responsible? This question has renewed significance given the proliferation of autonomous systems enabled by modern artificial intelligence techniques. At the root of this problem is a philosophical difficulty known in the literature as the responsibility gap. That is to say, because of the causal distance between the designers of autonomous systems and the eventual outcomes of those systems, the dilution of agency within the large and complex teams that design autonomous systems, and (...)
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  • Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context.Mihaela Constantinescu, Cristina Voinea, Radu Uszkai & Constantin Vică - 2021 - Ethics and Information Technology 23 (4):803-814.
    During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for (...)
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  • Computing and moral responsibility.Merel Noorman - forthcoming - Stanford Encyclopedia of Philosophy.
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  • (1 other version)The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
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  • Moral Engagement and Disengagement in Health Care AI Development.Ariadne A. Nichol, Meghan Halley, Carole Federico, Mildred K. Cho & Pamela L. Sankar - 2024 - AJOB Empirical Bioethics 15 (4):291-300.
    Background Machine learning (ML) is utilized increasingly in health care, and can pose harms to patients, clinicians, health systems, and the public. In response, regulators have proposed an approach that would shift more responsibility to ML developers for mitigating potential harms. To be effective, this approach requires ML developers to recognize, accept, and act on responsibility for mitigating harms. However, little is known regarding the perspectives of developers themselves regarding their obligations to mitigate harms.Methods We conducted 40 semi-structured interviews with (...)
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  • The value of responsibility gaps in algorithmic decision-making.Lauritz Munch, Jakob Mainz & Jens Christian Bjerring - 2023 - Ethics and Information Technology 25 (1):1-11.
    Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are not the first to (...)
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  • Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.Mildred K. Cho & Nicole Martinez-Martin - 2022 - American Journal of Bioethics 23 (9):43-54.
    Big data and artificial intelligence (“AI”) promise to transform virtually all aspects of biomedical research and health care (Matheny et al. 2019), through facilitation of drug development, diagno...
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  • ‘Once more unto the Breach’: Professional Responsibility and Computer Ethics”: A Response to: “A Critique of Positive Responsibility in Computing.Don Gotterbarn - 2008 - Science and Engineering Ethics 14 (2):235-239.
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  • Response to commentators of “a critique of positive responsibility”.James A. Stieb - 2009 - Science and Engineering Ethics 15 (1):11-18.
    It has been claimed that (1) computer professionals should be held responsible for an undisclosed list of “undesirable events” associated with their work and (2) most if not all computer disasters can be avoided by truly understanding responsibility. Commentators of “A Critique of Positive Responsibility in Computing” argue that this is not Donald Gotterbarn’s view (Gotterbarn, JSEE 14(2):235–239, 2008) but that a critique of the view nevertheless raises significant moral issues within computing such as the ethical goals of a computing (...)
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  • (1 other version)The challenge of applying ethics.Terrell Ward Bynum - 2001 - Science and Engineering Ethics 7 (2):219-220.
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  • Ethics of Google's Knowledge Graph: some considerations.Katrine Juel Vang - 2013 - Journal of Information, Communication and Ethics in Society 11 (4):245-260.
    Purpose – The purpose of this paper is to examine the ethical implications of Google's Knowledge Graph. The paper argues that in the advent and implementation of said Knowledge Graph, the role of Google in users' lives and the power held by Google as the key intermediary of information must be scrutinized. Design/methodology/approach – Revisiting existing literature on Google and its impact on knowledge culture, the paper seeks to assess whether the implementation of The Knowledge Graph represents a significant shift (...)
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  • A critique of positive responsibility in computing.James A. Stieb - 2008 - Science and Engineering Ethics 14 (2):219-233.
    It has been claimed that (1) computer professionals should be held responsible for an undisclosed list of “undesirable events” associated with their work and (2) most if not all computer disasters can be avoided by truly understanding responsibility. Programmers, software developers, and other computer professionals should be defended against such vague, counterproductive, and impossible ideals because these imply the mandatory satisfaction of social needs and the equation of ethics with a kind of altruism. The concept of social needs is debatable (...)
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  • Responsibility Practices and Unmanned Military Technologies.Merel Noorman - 2014 - Science and Engineering Ethics 20 (3):809-826.
    The prospect of increasingly autonomous military robots has raised concerns about the obfuscation of human responsibility. This papers argues that whether or not and to what extent human actors are and will be considered to be responsible for the behavior of robotic systems is and will be the outcome of ongoing negotiations between the various human actors involved. These negotiations are about what technologies should do and mean, but they are also about how responsibility should be interpreted and how it (...)
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  • Computing and moral responsibility.Kari Gwen Coleman - 2008 - Stanford Encyclopedia of Philosophy.
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  • Infrastructural justice for responsible software engineering.Sarah Robinson, Jim Buckley, Luigina Ciolfi, Conor Linehan, Clare McInerney, Bashar Nuseibeh, John Twomey, Irum Rauf & John McCarthy - 2024 - Journal of Responsible Technology 19 (C):100087.
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