- Three Lessons For and From Algorithmic Discrimination.Frej Klem Thomsen - 2023 - Res Publica (2):1-23.details
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Machine learning in bail decisions and judges’ trustworthiness.Alexis Morin-Martel - 2023 - AI and Society:1-12.details
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Ethics of Artificial Intelligence.Vincent C. Müller - 2021 - In Anthony Elliott (ed.), The Routledge social science handbook of AI. London: Routledge. pp. 122-137.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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Reliability in Machine Learning.Thomas Grote, Konstantin Genin & Emily Sullivan - 2024 - Philosophy Compass 19 (5):e12974.details
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The Importance of Understanding Deep Learning.Tim Räz & Claus Beisbart - forthcoming - Erkenntnis.details
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The virtues of interpretable medical AI.Joshua Hatherley, Robert Sparrow & Mark Howard - forthcoming - Cambridge Quarterly of Healthcare Ethics.details
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Legitimacy and automated decisions: the moral limits of algocracy.Bartek Chomanski - 2022 - Ethics and Information Technology 24 (3):1-9.details
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Black Boxes or Unflattering Mirrors? Comparative Bias in the Science of Machine Behaviour.Cameron Buckner - 2023 - British Journal for the Philosophy of Science 74 (3):681-712.details
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A Means-End Account of Explainable Artificial Intelligence.Oliver Buchholz - 2023 - Synthese 202 (33):1-23.details
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Putting explainable AI in context: institutional explanations for medical AI.Jacob Browning & Mark Theunissen - 2022 - Ethics and Information Technology 24 (2).details
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AI, Opacity, and Personal Autonomy.Bram Vaassen - 2022 - Philosophy and Technology 35 (4):1-20.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 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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Relation between prognostics predictor evaluation metrics and local interpretability SHAP values.Marcia L. Baptista, Kai Goebel & Elsa M. P. Henriques - 2022 - Artificial Intelligence 306:103667.details
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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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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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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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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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