Philosophy of science at sea: Clarifying the interpretability of machine learning

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Philosophy Compass 17 (6):e12830 (2022)
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Abstract

Philosophy Compass, Volume 17, Issue 6, June 2022.

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10.1111/phc3.12830

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Claus Beisbart
University of Bern

Citations of this work

ML interpretability: Simple isn't easy.Tim Räz - 2024 - Studies in History and Philosophy of Science Part A 103 (C):159-167.

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References found in this work

Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
Studies in the logic of explanation.Carl Gustav Hempel & Paul Oppenheim - 1948 - Philosophy of Science 15 (2):135-175.
Explanation and scientific understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.

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