NeurIPS’26 Workshop on AI-Native Academia: Authorship, Peer Review, and Conference Governance under AI

As LLMs become co-authors, co-reviewers, and co-citers, the academic publishing system is undergoing a structural rewrite that current venue policies were not designed to absorb. ICLR 2026, NeurIPS 2025, and ICML 2026 have each shipped ad-hoc detection, policy, and mechanism-design responses, but no shared formulation yet exists for the underlying failure: a human-AI co-hallucination loop in which false or unsupported scholarly claims that no model and no human would produce alone arise through their interaction and become institutionalized through trust, time pressure, and publication incentives. This workshop convenes six invited speakers, each anchored to a concrete publication-pipeline issue: James Zou (Stanford), Kyunghyun Cho (NYU), Hiromu Yakura (MPI / Anthropic), Yian Yin (Cornell Tech), Hima Lakkaraju (Harvard / Google), and Lin Peng (Baruch / CUNY). An All-PC-Chair Panel brings together past, current, and incoming PC Chairs at NeurIPS, ICLR, ICML, CVPR, MICCAI, and MIDL, moderated by Atlas Wang (UT Austin / XTX Markets). Deliverables: a community position document on operational 2027 policy.