Full papers
Submissions of up to 10 pages (excluding references) presenting original research.
Machine Learning/CORE Unranked
PhilML@ICML 2026
ICML 2026 Workshop: Philosophy Meets Machine Learning
PhilML@ICML 2026 is a workshop co-located with ICML 2026 that brings together researchers from philosophy and machine learning to explore foundational questions at their intersection. The workshop encourages interdisciplinary contributions that address conceptual, ethical, and methodological issues in AI and machine learning.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Submissions of up to 4 pages (excluding references) for preliminary results, position papers, or extended abstracts.
Journal track
Submissions of previously published or submitted journal articles, with a 2-page summary and a link to the full version.
Research areas in scope
01
Topics of Interest
Foundations of machine learningCausality and explanation in AIEthics and fairness in algorithmic systemsEpistemology of AI and dataPhilosophy of probability and uncertaintyHuman-AI interaction and agencyValue alignment and normative AIInterpretability and transparencyBias, discrimination, and social impactPhilosophical implications of large language models
Policies worth checking twice
- All submissions must be anonymized for double-blind review.
- Papers must not be under review at another conference or journal during submission.
- Dual submissions to other venues are not permitted.
- Authors may not change authorship after the submission deadline.
- Authors must include an AI-use statement in their submissions if generative AI tools were used.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026