- AI, Radical Ignorance, and the Institutional Approach to Consent.Etye Steinberg - 2024 - Philosophy and Technology 37 (3):1-26.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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Against the Double Standard Argument in AI Ethics.Scott Hill - 2024 - Philosophy and Technology 37 (1):1-5.details
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Understanding via exemplification in XAI: how explaining image classification benefits from exemplars.Sara Mann - forthcoming - AI and Society:1-16.details
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Healthy Mistrust: Medical Black Box Algorithms, Epistemic Authority, and Preemptionism.Andreas Wolkenstein - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-10.details
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Jaz u odgovornosti u informatičkoj eri.Jelena Mijić - 2023 - Društvo I Politika 4 (4):25-38.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 - forthcoming - American Journal of Bioethics:1-14.details
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Democratizing AI from a Sociotechnical Perspective.Merel Noorman & Tsjalling Swierstra - 2023 - Minds and Machines 33 (4):563-586.details
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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.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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On the Philosophy of Unsupervised Learning.David S. Watson - 2023 - Philosophy and Technology 36 (2):1-26.details
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Engineering Trustworthiness in the Online Environment.Hugh Desmond - 2023 - In Mark Alfano & David Collins (eds.), The Moral Psychology of Trust. Lexington Books. pp. 215-237.details
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Responsibility Gaps and Retributive Dispositions: Evidence from the US, Japan and Germany.Markus Kneer & Markus Christen - manuscriptdetails
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Going beyond the “common suspects”: to be presumed innocent in the era of algorithms, big data and artificial intelligence.Athina Sachoulidou - forthcoming - Artificial Intelligence and Law:1-54.details
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Reframing data ethics in research methods education: a pathway to critical data literacy.Javiera Atenas, Leo Havemann & Cristian Timmermann - 2023 - International Journal of Educational Technology in Higher Education 20:11.details
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Trust and Trustworthiness in Al Ethics.Karoline Reinhardt - 2022 - In Al and Ethics. Springer.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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A principlist-based study of the ethical design and acceptability of artificial social agents.Paul Formosa - 2023 - International Journal of Human-Computer Studies 172.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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A Hippocratic Oath for mathematicians? Mapping the landscape of ethics in mathematics.Dennis Müller, Maurice Chiodo & James Franklin - 2022 - Science and Engineering Ethics 28 (5):1-30.details
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The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study.Matthew Kopec, Meica Magnani, Vance Ricks, Roben Torosyan, John Basl, Nicholas Miklaucic, Felix Muzny, Ronald Sandler, Christo Wilson, Adam Wisniewski-Jensen, Cora Lundgren, Kevin Mills & Mark Wells - 2023 - Big Data and Society 10 (1).details
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Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach.Filippo Santoni de Sio, Giulio Mecacci, Simeon Calvert, Daniel Heikoop, Marjan Hagenzieker & Bart van Arem - 2023 - Minds and Machines 33 (4):587-611.details
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Individual benefits and collective challenges: Experts’ views on data-driven approaches in medical research and healthcare in the German context.Silke Schicktanz & Lorina Buhr - 2022 - Big Data and Society 9 (1).details
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The Struggle for AI’s Recognition: Understanding the Normative Implications of Gender Bias in AI with Honneth’s Theory of Recognition.Rosalie Waelen & Michał Wieczorek - 2022 - Philosophy and Technology 35 (2).details
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Ethical Issues with Artificial Ethics Assistants.Elizabeth O'Neill, Michal Klincewicz & Michiel Kemmer - 2023 - In Carissa Véliz (ed.), The Oxford Handbook of Digital Ethics. Oxford University Press.details
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Promises and Pitfalls of Algorithm Use by State Authorities.Maryam Amir Haeri, Kathrin Hartmann, Jürgen Sirsch, Georg Wenzelburger & Katharina A. Zweig - 2022 - Philosophy and Technology 35 (2):1-31.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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Binding the Smart City Human-Digital System with Communicative Processes.Brandt Dainow - 2021 - In Michael Nagenborg, Taylor Stone, Margoth González Woge & Pieter E. Vermaas (eds.), Technology and the City: Towards a Philosophy of Urban Technologies. Springer Verlag. pp. 389-411.details
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Book review: Luca Possati (2021): “The algorithmic unconscious: how psychoanalysis helps in understanding AI” (Routledge). [REVIEW]Marc Cheong - 2024 - AI and Society 39 (2):819-821.details
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(1 other version)The epistemological foundations of data science: a critical analysis.Jules Desai, David Watson, Vincent Wang, Mariarosaria Taddeo & Luciano Floridi - manuscriptdetails
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Ethical problems in the use of algorithms in data management and in a free market economy.Rafał Szopa - 2023 - AI and Society 38 (6):2487-2498.details
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Fairness as Equal Concession: Critical Remarks on Fair AI.Christopher Yeomans & Ryan van Nood - 2021 - Science and Engineering Ethics 27 (6):1-14.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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Speeding up to keep up: exploring the use of AI in the research process.Jennifer Chubb, Peter Cowling & Darren Reed - 2022 - AI and Society 37 (4):1439-1457.details
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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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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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AI Recruitment Algorithms and the Dehumanization Problem.Megan Fritts & Frank Cabrera - 2021 - Ethics and Information Technology (4):1-11.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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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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The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems.Atoosa Kasirzadeh & Colin Klein - 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES '21).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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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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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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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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Artificial Intelligence and Medical Humanities.Kirsten Ostherr - 2020 - Journal of Medical Humanities 43 (2):211-232.details
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(1 other version)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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Automated Influence and the Challenge of Cognitive Security.Sarah Rajtmajer & Daniel Susser - forthcoming - HoTSoS: ACM Symposium on Hot Topics in the Science of Security.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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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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