- Consent-GPT: is it ethical to delegate procedural consent to conversational AI?Jemima Winifred Allen, Brian D. Earp, Julian Koplin & Dominic Wilkinson - 2024 - Journal of Medical Ethics 50 (2):77-83.details
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Tensions in transparent urban AI: designing a smart electric vehicle charge point.Kars Alfrink, Ianus Keller, Neelke Doorn & Gerd Kortuem - 2023 - AI and Society 38 (3):1049-1065.details
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Defending explicability as a principle for the ethics of artificial intelligence in medicine.Jonathan Adams - 2023 - Medicine, Health Care and Philosophy 26 (4):615-623.details
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Reliability in Machine Learning.Thomas Grote, Konstantin Genin & Emily Sullivan - forthcoming - Philosophy Compass.details
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Algorithmic and human decision making: for a double standard of transparency.Mario Günther & Atoosa Kasirzadeh - 2022 - AI and Society 37 (1):375-381.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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Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2012 - In Peter Adamson (ed.), Stanford Encyclopedia of Philosophy. Stanford Encyclopedia of Philosophy. pp. 1-70.details
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The impact of artificial intelligence on jobs and work in New Zealand.James Maclaurin, Colin Gavaghan & Alistair Knott - 2021 - Wellington, New Zealand: New Zealand Law Foundation.details
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Cultural Bias in Explainable AI Research.Uwe Peters & Mary Carman - forthcoming - Journal of Artificial Intelligence Research.details
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Machine learning in healthcare and the methodological priority of epistemology over ethics.Thomas Grote - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.details
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Algorithmic Decision-Making and the Control Problem.John Zerilli, Alistair Knott, James Maclaurin & Colin Gavaghan - 2019 - Minds and Machines 29 (4):555-578.details
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Scientific Exploration and Explainable Artificial Intelligence.Carlos Zednik & Hannes Boelsen - 2022 - Minds and Machines 32 (1):219-239.details
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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence.Carlos Zednik - 2019 - Philosophy and Technology 34 (2):265-288.details
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Feminist AI: Can We Expect Our AI Systems to Become Feminist?Galit Wellner & Tiran Rothman - 2020 - Philosophy and Technology 33 (2):191-205.details
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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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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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Conceptual challenges for interpretable machine learning.David S. Watson - 2022 - Synthese 200 (2):1-33.details
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Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency.Hao Wang - 2022 - Philosophy and Technology 35 (3):1-25.details
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Artificial intelligence and the value of transparency.Joel Walmsley - 2021 - AI and Society 36 (2):585-595.details
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Freedom at Work: Understanding, Alienation, and the AI-Driven Workplace.Kate Vredenburgh - 2022 - Canadian Journal of Philosophy 52 (1):78-92.details
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Transparency and the Black Box Problem: Why We Do Not Trust AI.Warren J. von Eschenbach - 2021 - Philosophy and Technology 34 (4):1607-1622.details
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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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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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Transparency in AI.Tolgahan Toy - forthcoming - AI and Society:1-11.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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Algorithms Don’t Have A Future: On the Relation of Judgement and Calculation.Daniel Stader - 2024 - Philosophy and Technology 37 (1):1-29.details
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Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing. [REVIEW]Peter Seele, Claus Dierksmeier, Reto Hofstetter & Mario D. Schultz - 2019 - Journal of Business Ethics 170 (4):697-719.details
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The Importance of Understanding Deep Learning.Tim Räz & Claus Beisbart - forthcoming - Erkenntnis:1-18.details
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Sentencing Disparity and Artificial Intelligence.Jesper Ryberg - 2023 - Journal of Value Inquiry 57 (3):447-462.details
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AI and the expert; a blueprint for the ethical use of opaque AI.Amber Ross - forthcoming - AI and Society:1-12.details
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Sources of Understanding in Supervised Machine Learning Models.Paulo Pirozelli - 2022 - Philosophy and Technology 35 (2):1-19.details
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Transparency and its roles in realizing greener AI.Omoregie Charles Osifo - 2023 - Journal of Information, Communication and Ethics in Society 21 (2):202-218.details
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Relative explainability and double standards in medical decision-making: Should medical AI be subjected to higher standards in medical decision-making than doctors?Saskia K. Nagel, Jan-Christoph Heilinger & Hendrik Kempt - 2022 - Ethics and Information Technology 24 (2).details
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Justice and the Normative Standards of Explainability in Healthcare.Saskia K. Nagel, Nils Freyer & Hendrik Kempt - 2022 - Philosophy and Technology 35 (4):1-19.details
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Ethics-based auditing of automated decision-making systems: intervention points and policy implications.Jakob Mökander & Maria Axente - 2023 - AI and Society 38 (1):153-171.details
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Why algorithmic speed can be more important than algorithmic accuracy.Jakob Mainz, Lauritz Munch, Jens Christian Bjerring & Sissel Godtfredsen - 2023 - Clinical Ethics 18 (2):161-164.details
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AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind.Jocelyn Maclure - 2021 - Minds and Machines 31 (3):421-438.details
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Ethical machine decisions and the input-selection problem.Björn Lundgren - 2021 - Synthese 199 (3-4):11423-11443.details
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Artificial intelligence, transparency, and public decision-making.Karl de Fine Licht & Jenny de Fine Licht - 2020 - AI and Society 35 (4):917-926.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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We Have No Satisfactory Social Epistemology of AI-Based Science.Inkeri Koskinen - forthcoming - Social Epistemology.details
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The virtues of interpretable medical artificial intelligence.Joshua Hatherley, Robert Sparrow & Mark Howard - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-10.details
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The Virtues of Interpretable Medical AI.Joshua Hatherley, Robert Sparrow & Mark Howard - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-10.details
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Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?Clement Guitton, Aurelia Tamò-Larrieux & Simon Mayer - 2022 - Artificial Intelligence and Law 31 (3):571-599.details
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Allure of Simplicity.Thomas Grote - 2023 - Philosophy of Medicine 4 (1).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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How Much Should You Care About Algorithmic Transparency as Manipulation?Ulrik Franke - 2022 - Philosophy and Technology 35 (4):1-7.details
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First- and Second-Level Bias in Automated Decision-making.Ulrik Franke - 2022 - Philosophy and Technology 35 (2):1-20.details
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Algorithmic Political Bias—an Entrenchment Concern.Ulrik Franke - 2022 - Philosophy and Technology 35 (3):1-6.details
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Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution.E. Fosch-Villaronga, S. van der Hof, C. Lutz & A. Tamò-Larrieux - 2021 - AI and Society:1-20.details
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