- 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.details
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Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them.Filippo Santoni de Sio & Giulio Mecacci - 2021 - Philosophy and Technology 34 (4):1057-1084.details
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(1 other version)The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.details
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Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (5):medethics - 2020-106820.details
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Artificial Intelligence and Patient-Centered Decision-Making.Jens Christian Bjerring & Jacob Busch - 2020 - Philosophy and Technology 34 (2):349-371.details
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(1 other version)The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2022 - AI and Society 37 (1):215-230.details
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Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability.Mark Coeckelbergh - 2020 - Science and Engineering Ethics 26 (4):2051-2068.details
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Transparency in Algorithmic and Human Decision-Making: Is There a Double Standard?John Zerilli, Alistair Knott, James Maclaurin & Colin Gavaghan - 2018 - Philosophy and Technology 32 (4):661-683.details
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Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.details
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Varieties of artifacts: Embodied, perceptual, cognitive, and affective.Richard Heersmink - 2021 - Topics in Cognitive Science (4):1-24.details
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Ethics of Artificial Intelligence.Stefan Buijsman, Michael Klenk & Jeroen van den Hoven - forthcoming - In Nathalie Smuha, Cambridge Handbook on the Law, Ethics and Policy of AI. Cambridge University Press.details
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What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research.Markus Langer, Daniel Oster, Timo Speith, Lena Kästner, Kevin Baum, Holger Hermanns, Eva Schmidt & Andreas Sesing - 2021 - Artificial Intelligence 296 (C):103473.details
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Artificial intelligence and the ‘Good Society’: the US, EU, and UK approach.Corinne Cath, Sandra Wachter, Brent Mittelstadt, Mariarosaria Taddeo & Luciano Floridi - 2018 - Science and Engineering Ethics 24 (2):505-528.details
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Testimonial injustice in medical machine learning.Giorgia Pozzi - 2023 - Journal of Medical Ethics 49 (8):536-540.details
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Toward an Ethics of AI Assistants: an Initial Framework.John Danaher - 2018 - Philosophy and Technology 31 (4):629-653.details
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Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning.Maya Krishnan - 2020 - Philosophy and Technology 33 (3):487-502.details
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What we owe to decision-subjects: beyond transparency and explanation in automated decision-making.David Gray Grant, Jeff Behrends & John Basl - 2023 - Philosophical Studies 2003:1-31.details
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Consideration and Disclosure of Group Risks in Genomics and Other Data-Centric Research: Does the Common Rule Need Revision?Carolyn Riley Chapman, Gwendolyn P. Quinn, Heini M. Natri, Courtney Berrios, Patrick Dwyer, Kellie Owens, Síofra Heraty & Arthur L. Caplan - 2023 - American Journal of Bioethics 25 (2):47-60.details
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Ethical Implications and Accountability of Algorithms.Kirsten Martin - 2018 - Journal of Business Ethics 160 (4):835-850.details
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Consideration and Disclosure of Group Risks in Genomics and Other Data-Centric Research: Does the Common Rule Need Revision?Carolyn Riley Chapman, Gwendolyn P. Quinn, Heini M. Natri, Courtney Berrios, Patrick Dwyer, Kellie Owens, Síofra Heraty & Arthur L. Caplan - 2023 - American Journal of Bioethics 25 (2):47-60.details
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From Responsibility to Reason-Giving Explainable Artificial Intelligence.Kevin Baum, Susanne Mantel, Timo Speith & Eva Schmidt - 2022 - Philosophy and Technology 35 (1):1-30.details
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Mental time-travel, semantic flexibility, and A.I. ethics.Marcus Arvan - 2023 - AI and Society 38 (6):2577-2596.details
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Epistemic injustice and data science technologies.John Symons & Ramón Alvarado - 2022 - Synthese 200 (2):1-26.details
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Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms.Sábëlo Mhlambi & Simona Tiribelli - 2023 - Topoi 42 (3):867-880.details
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The algorithm audit: Scoring the algorithms that score us.Jovana Davidovic, Shea Brown & Ali Hasan - 2021 - Big Data and Society 8 (1).details
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Automated opioid risk scores: a case for machine learning-induced epistemic injustice in healthcare.Giorgia Pozzi - 2023 - Ethics and Information Technology 25 (1):1-12.details
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AI, big data, and the future of consent.Adam J. Andreotta, Nin Kirkham & Marco Rizzi - 2022 - AI and Society 37 (4):1715-1728.details
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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2020 - Synthese 198 (10):1–32.details
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Algorithms and Autonomy: The Ethics of Automated Decision Systems.Alan Rubel, Clinton Castro & Adam Pham - 2021 - Cambridge University Press.details
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Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms.Benedetta Giovanola & Simona Tiribelli - 2023 - AI and Society 38 (2):549-563.details
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Agency Laundering and Information Technologies.Alan Rubel, Clinton Castro & Adam Pham - 2019 - Ethical Theory and Moral Practice 22 (4):1017-1041.details
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Robots in the Workplace: a Threat to—or Opportunity for—Meaningful Work?Jilles Smids, Sven Nyholm & Hannah Berkers - 2020 - Philosophy and Technology 33 (3):503-522.details
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Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?Paul B. de Laat - 2018 - Philosophy and Technology 31 (4):525-541.details
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Explainable AI lacks regulative reasons: why AI and human decision‑making are not equally opaque.Uwe Peters - forthcoming - AI and Ethics.details
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Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda.Anna Lena Hunkenschroer & Christoph Luetge - 2022 - Journal of Business Ethics 178 (4):977-1007.details
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Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies, and the Potential of Rational Discourse.Alexander Buhmann, Johannes Paßmann & Christian Fieseler - 2020 - Journal of Business Ethics 163 (2):265-280.details
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AI Recruitment Algorithms and the Dehumanization Problem.Megan Fritts & Frank Cabrera - 2021 - Ethics and Information Technology (4):1-11.details
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Artificial Intelligence in the Colonial Matrix of Power.James Muldoon & Boxi A. Wu - 2023 - Philosophy and Technology 36 (4):1-24.details
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(2 other versions)The explanation game: a formal framework for interpretable machine learning.David S. Watson & Luciano Floridi - 2021 - Synthese 198 (10):9211-9242.details
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The right to refuse diagnostics and treatment planning by artificial intelligence.Thomas Ploug & Søren Holm - 2020 - Medicine, Health Care and Philosophy 23 (1):107-114.details
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On the Philosophy of Unsupervised Learning.David S. Watson - 2023 - Philosophy and Technology 36 (2):1-26.details
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Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?Massimo Durante & Marcello D'Agostino - 2018 - Philosophy and Technology 31 (4):525-541.details
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Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants.Marianna Capasso & Steven Umbrello - 2022 - Medicine, Health Care and Philosophy 25 (1):11-22.details
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Can Finance Be a Virtuous Practice? A MacIntyrean Account.Marta Rocchi, Ignacio Ferrero & Ron Beadle - 2021 - Business Ethics Quarterly 31 (1):75-105.details
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Connecting ethics and epistemology of AI.Federica Russo, Eric Schliesser & Jean Wagemans - forthcoming - AI and Society:1-19.details
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Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns.Aurelia Tamò-Larrieux, Christoph Lutz, Eduard Fosch Villaronga & Heike Felzmann - 2019 - Big Data and Society 6 (1).details
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Towards Transparency by Design for Artificial Intelligence.Heike Felzmann, Eduard Fosch-Villaronga, Christoph Lutz & Aurelia Tamò-Larrieux - 2020 - Science and Engineering Ethics 26 (6):3333-3361.details
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Authority or Autonomy? Philosophical and Psychological Perspectives on Deference to Experts.Alex Worsnip, Devin Lane, Samuel Pratt, M. Giulia Napolitano, Kurt Gray & Jeffrey A. Greene - forthcoming - Philosophical Psychology.details
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What we owe to decision-subjects: beyond transparency and explanation in automated decision-making.David Gray Grant, Jeff Behrends & John Basl - 2025 - Philosophical Studies 182 (1):55-85.details
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