EIML2026@ICML | 2nd Workshop on Epistemic Intelligence in Machine Learning

[Chau Siu Lun]

Dear colleagues,

We are pleased to invite submissions to the 2nd Workshop on Epistemic Intelligence in Machine Learning (EIML@ICML 2026), to be held on 11 July 2026 in Seoul, South Korea, co-located with ICML 2026.

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WORKSHOP OVERVIEW
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As ML systems are deployed in increasingly open-ended and high-stakes environments, fundamental limitations emerge: distribution shift, adversarial manipulation, hallucinations, catastrophic forgetting, and misalignment all reflect the difficulty of operating reliably under incomplete information. EIML brings together researchers from diverse subfields of machine learning whose work confronts epistemic uncertainty from complementary angles.

Topics of interest include, but are not limited to:

• Foundations of uncertainty modelling
• Uncertainty-aware generative AI and foundation models
• AI safety as an epistemic problem
• AI alignment under objective uncertainty
• Lifelong and continual learning in open worlds

We welcome both theoretical contributions and applied case studies. Submissions that challenge prevailing assumptions, propose novel benchmarks, or provide insights into the philosophical and foundational dimensions of uncertainty in AI are especially encouraged.

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IMPORTANT DATES
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• Submission opens: 20 March 2026
• Paper deadline: 20 April 2026
• Review period: 27 April – 27 May 2026
• Author notification: 4 June 2026
• Camera-ready deadline: 15 June 2026
• Workshop: 10–11 July 2026

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SUBMISSION
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Please visit our website for full submission instructions:

For any queries, please contact us at: pc.eiml....@gmail.com

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ORGANISING COMMITTEE
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• Sahar Abdelnabi (ELLIS Institute Tübingen & MPI-IS)
• Michele Caprio (University of Manchester)
• Siu Lun Chau (Nanyang Technological University)
• Arnaud Doucet (Google DeepMind)
• Shireen Kudukkil Manchingal (Oxford Brookes University)
• Krikamol Muandet (CISPA Helmholtz Center)

We look forward to your contributions and to seeing you in Seoul!

Best regards,

The EIML@ICML 2026 Organising Committee