[D] What Happened to Neurips Creative AI Track? [R]

2026-05-04 · Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The Creative AI Track, announced as an official part of the NeurIPS 2025 conference proceedings, appears to be missing its papers from the live proceedings. The NeurIPS 2025 Call For Creative AI explicitly stated that papers from this track would be included in the conference proceedings and presented as posters. However, the official NeurIPS paper archive for 2025 does not list any papers from this track, leading to questions regarding its status. This discrepancy has prompted inquiries from the community about the track's inclusion and the whereabouts of its accepted research.

Key takeaway

For research scientists tracking AI conference publications, you should verify the status of the NeurIPS 2025 Creative AI Track. If you submitted work to this track, monitor official NeurIPS channels for updates regarding paper publication and presentation, as the current proceedings do not reflect its announced inclusion.

Key insights

The NeurIPS 2025 Creative AI Track papers are unexpectedly absent from the official conference proceedings.

Topics

• NeurIPS 2025
• Creative AI Track
• Conference Proceedings
• Missing Papers
• Research Discrepancy

Best for: Research Scientist, AI Scientist, Creative Technologist

Related on AIssential

• Paper Digest: NeurIPS 2025 Papers & Highlights — Paper Digest offers tools to navigate NeurIPS 2025 papers via highlights, search, and review services.
• KDD 2026 Cycle 2 Results [D] — KDD 2026 Cycle 2 research track results are out, with other track results pending and some review discrepancies reported.
• Confusion about the NeurIPS 2026 page limit [R] — NeurIPS 2026 paper submissions have a 9-page limit, excluding references, appendices, and the mandatory checklist.
• Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness — AI scientific workflows require externalized, inspectable synthesis and validation for accountability.
• The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers — AI research documentation practices improved significantly from 2014-2024, driven by a broader open science movement.
• The uncritical adoption of AI in science is alarming — we urgently need guard rails — Uncritical AI adoption in science risks reduced research quality, narrowed scope, and deskilling future scientists.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.