Philosophy of machine learning: knowledge and causality

March 17, 2018 - March 18, 2018
Department of Logic & Philosophy of Science; Department of Statistics, University of California, Irvine

Donald Bren Hall Conference Center, UC-Irvine
Irvine 92697
United States

View the Call For Papers


Frederick Eberhardt
California Institute of Technology
Andrew Gelman
Columbia University
Judea Pearl
University of Groningen
Teresa Scantamburlo
Bristol University
Richard Scheines
Carnegie Mellon University


Andrew Holbrook
University of California, Irvine
Kino Zhao
University of California, Irvine

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The recent rapid development in machine learning has opened up unprecedented possibilities in analyzing and predicting diverse phenomena. However, there has been a shortage of philosophical reflections on the nature of this practice from both philosophical and machine learning communities. This workshop aims to bring together philosophers of science, statisticians, and machine learning practitioners to share insights from different communities. The purpose is to introduce workshop participants to a diverse collection of perspectives and methodologies in the hope of engendering further interdisciplinary thinking.

No registration fee is required. Registration is highly recommended for the purpose of catering count.

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February 1, 2018, 6:00pm PST

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