- Understanding and the facts.Catherine Elgin - 2007 - Philosophical Studies 132 (1):33 - 42.details
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True enough.Catherine Z. Elgin - 2004 - Philosophical Issues 14 (1):113–131.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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Explaining Explanations in AI.Brent Mittelstadt - forthcoming - FAT* 2019 Proceedings 1.details
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Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges.Bruno Lepri, Nuria Oliver, Emmanuel Letouzé, Alex Pentland & Patrick Vinck - 2018 - Philosophy and Technology 31 (4):611-627.details
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A Contextual Approach to Scientific Understanding.Henk W. de Regt & Dennis Dieks - 2005 - Synthese 144 (1):137-170.details
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Understanding without explanation.Peter Lipton - 2008 - In Henk W. De Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives. University of Pittsburgh Press. pp. 43-63.details
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Statistical explanation.Wesley C. Salmon - 1970 - In Robert G. Colodny (ed.), The Nature and Function of Scientific Theories: Essays in Contemporary Science and Philosophy. University of Pittsburgh Press. pp. 173--231.details
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Recovering Understanding.Linda Zagzebski - 2001 - In Matthias Steup (ed.), Knowledge, truth, and duty: essays on epistemic justification, responsibility, and virtue. New York: Oxford University Press.details
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Inaugurating Understanding or Repackaging Explanation?Kareem Khalifa - 2012 - Philosophy of Science 79 (1):15-37.details
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Understanding as representation manipulability.Daniel A. Wilkenfeld - 2013 - Synthese 190 (6):997-1016.details
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No understanding without explanation.Michael Strevens - 2013 - Studies in History and Philosophy of Science Part A 44 (3):510-515.details
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Idealizations and scientific understanding.Moti Mizrahi - 2012 - Philosophical Studies 160 (2):237-252.details
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Understanding.Stephen Grimm - 2011 - In D. Pritchard S. Berneker (ed.), The Routledge Companion to Epistemology. Routledge.details
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The nature of explanation.Peter Achinstein - 1983 - New York: Oxford University Press.details
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Is understanding a species of knowledge?Stephen R. Grimm - 2006 - British Journal for the Philosophy of Science 57 (3):515-535.details
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Objectual understanding, factivity and belief.J. Adam Carter & Emma C. Gordon - 2016 - In Martin Grajner & Pedro Schmechtig (eds.), Epistemic Reasons, Norms and Goals. Boston: De Gruyter. pp. 423-442.details
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Objectual Understanding, Factivity and Belief.Emma C. Gordon & J. Adam Carter - 2016 - In Martin Grajner & Pedro Schmechtig (eds.), Epistemic Reasons, Norms and Goals. Boston: De Gruyter. pp. 423-442.details
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On Epistemology.Linda Zagzebski - 2009 - Wadsworth.details
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Knowing the answer, understanding and epistemic value.Duncan Pritchard - 2008 - Grazer Philosophische Studien 77 (1):325-339.details
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Artificial explanations: the epistemological interpretation of explanation in AI.Andrés Páez - 2009 - Synthese 170 (1):131-146.details
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Counterfactual Dependence and Time’s Arrow’, Reprinted with Postscripts In.David K. Lewis - 1986 - Philosophical Papers 2.details
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Objectual understanding, factivity and belief.J. Adam Carter & Emma C. Gordon - 2016 - In Martin Grajner & Pedro Schmechtig (eds.), Epistemic Reasons, Norms and Goals. Boston: De Gruyter. pp. 423-442.details
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Explanation and inference: mechanistic and functional explanations guide property generalization.Tania Lombrozo & Nicholas Z. Gwynne - 2014 - Frontiers in Human Neuroscience 8:102987.details
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Unmasking Clever Hans Predictors and Assessing What Machines Really Learn.Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek & Klaus-Robert Müller - 2019 - Nature Communications 10 (1):1--8.details
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Responses to Critics.Jonathan Kvanvig - 2009 - In Adrian Haddock, Alan Millar & Duncan Pritchard (eds.), Epistemic Value. Oxford, GB: Oxford: Oxford University Press. pp. 339-353.details
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A review of possible effects of cognitive biases on interpretation of rule-based machine learning models. [REVIEW]Tomáš Kliegr, Štěpán Bahník & Johannes Fürnkranz - 2021 - Artificial Intelligence 295 (C):103458.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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