October 06, 2026
Ludwig-Maximilians-Universität
Room ...
Geschwister-Scholl-Platz 1,
80539 Munich, Germany
Keynotes: TBA
To grow the relatively young field of philosophy of machine learning, we recognize that it is crucial to offer opportunities for early-career researchers to engage with experts in science, machine learning, and philosophy. We will thus host a one-day mentoring workshop for graduate students in connection with the PhilML2026 conference. The purpose is to help students hone their ideas and develop skills for interdisciplinary exchange.
With these aims, we encourage the submission of papers that are still works in progress. To facilitate insightful feedback, we will hold the workshop in a pre-read format, i.e., we will invite authors of accepted contributions to submit short papers that will be circulated to conference organizers and participants prior to the workshop. Every speaker will give a 15 minute talk followed by a 25 minutes Q&A. Also, we will match speakers to conference organizers and local experts from the Munich Philosophy of Machine Learning community according to their paper topics. We will invite experts to attend a short, one-on-one mentoring session with speakers at the end of the day. We hope this workshop will lay the grounds for future collaborations among graduate students as well as between early and later career scholars.
We invite students to submit anonymized extended abstracts (750 words, not including references), along with a separate cover sheet with your name, email address, and institutional affiliation.. They should be sent as attachments to philml2026@gmail.com. Please indicate in the email subject line that this is a: Submission to the PhilML Graduate Workshop
Due date: TBA
Workshop: Oct.. 6, 2026