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Researchers Push AI Integration in Peer Review for ICML 2026

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Markus Wulfmeier@m_wulfmeier#672inAI

Thrilled to see our argument for inclusion of AI in peer review as oral (~1%) in the position paper track at #ICML2026!

AI has crucial potential to accelerate scientific progress, but the existing process is already overwhelmed. AI scales not only insights but also number of papers (including fluff).

This will not be straightforward and it has to be done in order to enhance human reviewers and chairs - rather than replace. But I deeply believe there is no way around AI in the review process!

Congrats to Qiyao Wei and @samianholt for leading this important project, w @jingyangcarlg, @MihaelaVDS

https://openreview.net/pdf?id=0eAsCehpyb

4:50 AM · Jun 8, 2026 · 3K Views
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Users appreciate the value of prior AI-in-peer-review workshops like the NeurIPS event when reacting to proposals for integrating AI into ICML 2026 peer review.

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Markus Wulfmeier@m_wulfmeier

A reminder of the value of venues like the AI in peer review workshop @NeurIPSConf last year - organized by Thanh Gia Hieu Khuong, Isabelle Guyon, Benedictus Kent Rachmat, Ihsan Ullah, Zach Xu.

And work done by Nihar Shah, Nitya Thakkar, @tdietterich and many others.

Markus Wulfmeier@m_wulfmeier

Thrilled to see our argument for inclusion of AI in peer review as oral (~1%) in the position paper track at #ICML2026!

AI has crucial potential to accelerate scientific progress, but the existing process is already overwhelmed. AI scales not only insights but also number of papers (including fluff).

This will not be straightforward and it has to be done in order to enhance human reviewers and chairs - rather than replace. But I deeply believe there is no way around AI in the review process!

Congrats to Qiyao Wei and @samianholt for leading this important project, w @jingyangcarlg, @MihaelaVDS

https://openreview.net/pdf?id=0eAsCehpyb

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