- 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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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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(2 other versions)Van Fraassen on Explanation.Philip Kitcher & Wesley Salmon - 1987 - Journal of Philosophy 84 (6):315.details
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Extrapolation of causal effects – hopes, assumptions, and the extrapolator’s circle.Donal Khosrowi - 2019 - Journal of Economic Methodology 26 (1):45-58.details
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Understanding phenomena.Christoph Kelp - unknowndetails
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The global landscape of AI ethics guidelines.A. Jobin, M. Ienca & E. Vayena - 2019 - Nature Machine Intelligence 1.details
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In Defense of Explanatory Ecumenism.Frank Jackson - 1992 - Economics and Philosophy 8 (1):1-21.details
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Presidential Address: Will This Policy Work for You? Predicting Effectiveness Better: How Philosophy Helps.Nancy Cartwright - 2012 - Philosophy of Science 79 (5):973-989.details
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A Survey of Methods for Explaining Black Box Models.Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti & Dino Pedreschi - 2019 - ACM Computing Surveys 51 (5):1-42.details
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Three Kinds of Idealization.Michael Weisberg - 2007 - Journal of Philosophy 104 (12):639-659.details
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How to do things with words.John Langshaw Austin - 1962 - Oxford [Eng.]: Clarendon Press. Edited by Marina Sbisá & J. O. Urmson.details
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Across the boundaries: extrapolation in biology and social science.Daniel Steel (ed.) - 2007 - New York: Oxford University Press.details
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Speech Act Theory and the Multiple Aims of Science.Paul L. Franco - 2019 - Philosophy of Science 86 (5):1005-1015.details
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What is Interpretability?Adrian Erasmus, Tyler D. P. Brunet & Eyal Fisher - 2021 - Philosophy and Technology 34:833–862.details
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The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.details
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms.Jenna Burrell - 2016 - Big Data and Society 3 (1):205395171562251.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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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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Understanding as representation manipulability.Daniel A. Wilkenfeld - 2013 - Synthese 190 (6):997-1016.details
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MUDdy understanding.Daniel A. Wilkenfeld - 2017 - Synthese 194 (4).details
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Functional explaining: a new approach to the philosophy of explanation.Daniel A. Wilkenfeld - 2014 - Synthese 191 (14):3367-3391.details
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Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.details
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Understanding: not know-how.Emily Sullivan - 2018 - Philosophical Studies 175 (1):221-240.details
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Explanatory pluralism in evolutionary biology.Kim Sterelny - 1996 - Biology and Philosophy 11 (2):193-214.details
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Scientific Explanation: Putting Communication First.Angela Potochnik - 2016 - Philosophy of Science 83 (5):721-732.details
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The Causal Nature of Modeling with Big Data.Wolfgang Pietsch - 2016 - Philosophy and Technology 29 (2):137-171.details
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Aspects of Theory-Ladenness in Data-Intensive Science.Wolfgang Pietsch - 2015 - Philosophy of Science 82 (5):905-916.details
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Thought Experiments: State of the Art.Michael T. Stuart, Yiftach Fehige & James Robert Brown - 2017 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 1-28.details
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Big data and prediction: Four case studies.Robert Northcott - 2020 - Studies in History and Philosophy of Science Part A 81:96-104.details
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(1 other version)How Thought Experiments Increase Understanding.Michael T. Stuart - 2017 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 526-544.details
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Randomized Controlled Trials in Medical AI.Konstantin Genin & Thomas Grote - 2021 - Philosophy of Medicine 2 (1).details
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Understanding Scientific Understanding.Henk W. de Regt - 2017 - New York: Oup Usa.details
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(2 other versions)Van Fraassen on explanation.Philip Kitcher & Wesley Salmon - 1987 - Journal of Philosophy 84 (6):315-330.details
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A philosopher's view of the long road from RCTs to effectiveness.Nancy Cartwright - 2011 - The Lancet 377 (9775):1400-1401.details
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Understanding in biology: the impure nature of biological knowledge.Sabina Leonelli - 2008 - In Henk W. De Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives. University of Pittsburgh Press. pp. 189--209.details
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