[CFP] AI-Native Academia @ NeurIPS 2026 (deadline Aug 29)

[Atlas Wang]

Dear all,

We are excited to announce the NeurIPS 2026 Workshop on AI-Native Academia: Authorship, Peer Review, and Conference Governance under AI! The workshop will take place December 12-13, 2026, in Atlanta, co-located with NeurIPS 2026 (in-person).

About the Workshop

Academic publishing is becoming AI-native before its governance is ready. Authors draft with LLMs, reviewers summarize with them, and program chairs deploy them for triage and meta-review. This workshop asks how the institutions of science themselves should change when AI becomes embedded in authorship, review, citation, and publication infrastructure. It convenes the PC chairs of NeurIPS, ICLR, ICML, CVPR & MICCAI in an all-PC-chair panel on redesigning AI venues under AI.

For details, please see https://ai-native-academia.github.io 

Submission Tracks

* Short Track (non-archival): up to 4 pages, excluding references.
* Long Track (non-archival): up to 9 pages, excluding references.
* Both tracks are hosted on OpenReview.
* Submission: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/AI-Native_Academia 

Important Dates

* Aug 29, 2026 (AoE): Submission deadline
* Sep 29, 2026: Notification
* Oct 10, 2026: Camera-ready deadline
* Dec 12-13, 2026: Workshop in Atlanta

Topics of Interest

We welcome technical, empirical, systems, benchmark, policy, and position papers organized around the AI-native academic pipeline, including (but not limited to):

1. AI-Assisted Authorship and Submission Integrity
2. Adversarial Manuscripts and Submission-Side Attacks
3. AI-Assisted Peer Review and Reviewer Accountability
4. Meta-Review, PCs, and Conference Scale Decision Support
5. Human-AI Co-Hallucination and Cross-Role Error Propagation
6. Citation, Credit, and Scholarly Knowledge Integrity
7. Provenance, Plagiarism, Detection, and Due Process
8. Recursive Scholarly Feedback Loops and Corpus Contamination
9. Publication Infrastructure, Policy, and Venue Repositioning

Invited Speakers

* James Zou (Stanford)
* Kyunghyun Cho (NYU)
* Hima Lakkaraju (Harvard/Google)
* Hiromu Yakura (MPI/Anthropic)
* Yian Yin (Cornell)
* Lin Peng (Baruch/CUNY)
* Nihar B. Shah (CMU)

(!) All-PC-Chair Panel

* Yisong Yue (ICLR 2025 General Chair)
* Kyunghyun Cho (NeurIPS 2022 PC Chair)
* Sharon Li (ICML 2026 PC Chair)
* Mert Sabuncu (MICCAI 2016 Program Co-Chair)
* Humphrey Shi (CVPR 2027 PC Chair)
* Moderated by Atlas Wang (UT Austin)

Call for Reviewers

We are recruiting reviewers and area chairs. If you are interested
in serving, please self-nominate at: https://docs.google.com/forms/d/e/1FAIpQLSdHJFepAMRRBRyfvGRRK8x1zV0SPo6bZXEWWw_vnRmLKc8OsQ/viewform

On behalf of the AI-Native Academia Organizing Team: 

Denghui Zhang (Stevens), Jianing Zhu (UT Austin), Gopal Ramchurn (Southampton), Manling Li (Northwestern), Atlas Wang (UT Austin)