PhilML'26

October 7, 2026 - October 9, 2026
LMU Munich

LMU Munich
Munich
Germany

Speakers:

University of Toronto, St. George Campus
The London School of Economics and Political Science
(unaffiliated)
University of Tübingen
(unaffiliated)

Organisers:

(unaffiliated)
(unaffiliated)
London School of Economics

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Details

This is a save the date for the annual PhilML conference.

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 direclty with scientific and mathematical details.  

PhilML'26 will take place at LMU Munich from October 7-9. The call for papers will be announced in May, at which point we will invite people to submit extended abstracts. 

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