Machine Learning Meets Mathematical Philosophy

The ever increasing impact of methods in machine learning and data science urgently calls for the study of their foundations. Important such foundational questions include their mathematical justification, their interpretability, and their consequences for the nature of scientific inference; and these questions are the concern of theorists, methodologists and philosophers alike.

This workshop brings together researchers from the Munich Center for Machine Learning (MCML) and the Munich Center for Mathematical Philosophy (MCMP) to exchange ideas on these topics and initiate possible collaborations.

Organized by:

Thomas Meier MCML

Tom Sterkenburg MCMP