- AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.details
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Explanation in artificial intelligence: Insights from the social sciences.Tim Miller - 2019 - Artificial Intelligence 267 (C):1-38.details
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(1 other version)Experts: Which ones should you trust?Alvin I. Goldman - 2001 - Philosophy and Phenomenological Research 63 (1):85-110.details
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Epistemic dependence.John Hardwig - 1985 - Journal of Philosophy 82 (7):335-349.details
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Explaining Explanations in AI.Brent Mittelstadt - forthcoming - FAT* 2019 Proceedings 1.details
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Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability.Alex John London - 2019 - Hastings Center Report 49 (1):15-21.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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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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What Is Justified Group Belief.Jennifer Lackey - 2016 - Philosophical Review 125 (3):341-396.details
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Explaining Machine Learning Decisions.John Zerilli - 2022 - Philosophy of Science 89 (1):1-19.details
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A Misdirected Principle with a Catch: Explicability for AI.Scott Robbins - 2019 - Minds and Machines 29 (4):495-514.details
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Autonomous Machines, Moral Judgment, and Acting for the Right Reasons.Duncan Purves, Ryan Jenkins & Bradley J. Strawser - 2015 - Ethical Theory and Moral Practice 18 (4):851-872.details
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Cynthia Rudin - 2019 - Nature Machine Intelligence 1.details
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