- Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.details
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Counterfactual Dependence and Time’s Arrow.David Lewis - 1979 - Noûs 13 (4):455-476.details
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(4 other versions)Causation.David Lewis - 1973 - Journal of Philosophy 70 (17):556-567.details
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The Importance of Understanding Deep Learning.Tim Räz & Claus Beisbart - 2024 - Erkenntnis 89 (5).details
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Defining Explanation and Explanatory Depth in XAI.Stefan Buijsman - 2022 - Minds and Machines 32 (3):563-584.details
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The Use and Misuse of Counterfactuals in Ethical Machine Learning.Atoosa Kasirzadeh & Andrew Smart - 2021 - In Atoosa Kasirzadeh & Andrew Smart (eds.), ACM Conference on Fairness, Accountability, and Transparency (FAccT 21).details
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Explanatory pragmatism: a context-sensitive framework for explainable medical AI.Diana Robinson & Rune Nyrup - 2022 - Ethics and Information Technology 24 (1).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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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 as compression.Daniel A. Wilkenfeld - 2019 - Philosophical Studies 176 (10):2807-2831.details
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Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.details
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(1 other version)“If you’d wiggled A, then B would’ve changed”: Causality and counterfactual conditionals.Katrin Schulz - 2011 - Synthese 179 (2):239-251.details
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(1 other version)“If you’d wiggled A, then B would’ve changed”: Causality and counterfactual conditionals.Katrin Schulz - 2011 - Synthese 179 (2):239-251.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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Grounds for Trust: Essential Epistemic Opacity and Computational Reliabilism.Juan M. Durán & Nico Formanek - 2018 - Minds and Machines 28 (4):645-666.details
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Understanding: not know-how.Emily Sullivan - 2018 - Philosophical Studies 175 (1):221-240.details
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(1 other version)Trumping Preemption.Jonathan Schaffer - 2000 - Journal of Philosophy 97 (4):165.details
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Understanding Why.Alison Hills - 2015 - Noûs 49 (2):661-688.details
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Constitutive Relevance, Mutual Manipulability, and Fat-Handedness.Michael Baumgartner & Alexander Gebharter - 2016 - British Journal for the Philosophy of Science 67 (3):731-756.details
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The Similarity of Causal Inference in Experimental and Non‐experimental Studies.Richard Scheines - 2005 - Philosophy of Science 72 (5):927-940.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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(1 other version)Trumping preemption.Jonathan Schaffer - 2000 - Journal of Philosophy 97 (4):165-181.details
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(4 other versions)Causation.D. Lewis - 1986 - In David K. Lewis (ed.), Philosophical Papers Vol. II. Oxford University Press. pp. 159-213.details
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Critical notice.Review author[S.]: Kit Fine - 1975 - Mind 84 (335):451-458.details
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Evaluating XAI: A comparison of rule-based and example-based explanations.Jasper van der Waa, Elisabeth Nieuwburg, Anita Cremers & Mark Neerincx - 2021 - Artificial Intelligence 291 (C):103404.details
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Understanding why, knowing why, and cognitive achievements.Insa Lawler - 2019 - Synthese 196 (11):4583-4603.details
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Is There A Monist Theory of Causal and Non-Causal Explanations? The Counterfactual Theory of Scientific Explanation.Alexander Reutlinger - 2016 - Philosophy of Science 83 (5):733-745.details
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Causability and explainability of artificial intelligence in medicine.Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal & Heimo Müller - 2019 - Wires Data Mining and Knowledge Discovery 9 (4):e1312.details
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Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare.Juan M. Durán - 2021 - Artificial Intelligence 297 (C):103498.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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Counterfactual theories of causation and the problem of large causes.Jens Harbecke - 2020 - Philosophical Studies 178 (5):1647-1668.details
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How Mathematics Can Make a Difference.Sam Baron, Mark Colyvan & David Ripley - 2017 - Philosophers' Imprint 17.details
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