Category: Philosophy

Moral Questions of Data Science

This course explores, from a philosophical perspective, ethical questions arising from collecting, drawing inferences from, and acting on data, especially when these activities are automated and on a large scale. Topics include: bias, fairness, discrimination, interpretability, privacy, paternalism, freedom of speech, and democracy.

Meets Philosophy & Values, L&S Breadth Requirement

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John MacFarlane

John received his Ph.D. from the University of Pittsburgh. His primary research interests lie in the philosophy of language, philosophical logic, and related issues in metaphysics and epistemology; he also maintains a secondary interest in ancient philosophy. He is the author of Assessment Sensitivity: Relative Truth and Its Applications (Oxford, 2014) and numerous articles.

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