PhilML is an annual conference dedicated to the philosophy of machine learning. It addresses foundational epistemological, ethical, and social questions concerning machine learning from the perspective of analytic philosophy. The conference welcomes both (1) work that applies philosophical concepts and methods to gain insight into machine learning and (2) work that critically reflects on the philosophical and ethical implications of machine learning research. To foster close and productive exchange, PhilML brings together philosophers and philosophically inclined machine learning researchers, with an openness to engaging directly with scientific and mathematical details.

The main conference will take place from October 7–9, preceded by a graduate workshop on October 6. We invite submissions of extended abstracts for both the main conference and the graduate workshop.