CFP: Philosophy of machine learning: knowledge and causality

Introduction: 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.

Length and format: we accept abstracts that are less than 2 pages long. Please prepare your submissions for blind review (i.e., prepare a title page with contact information; remove author’s name and affiliated institution from the body of the content.)

How to submit: please email pdf files to [email protected]