AI Incident Database - Incident 1135
Source evidence cited by public records. This page shows where the source is used, its trust tier, and when it was last checked in the seed.
Records using this source
- large-language-model-developers
entity | 4 July 2026 | 70%
large-language-model-developers - organisation named in the AI Incident Database harm index.
- academic-integrity
entity | 22 Oct 2025 | 70%
academic-integrity - organisation named in the AI Incident Database harm index.
- academic-conferences
entity | 4 July 2025 | 70%
academic-conferences - organisation named in the AI Incident Database harm index.
- peer-review-process
entity | 4 July 2025 | 70%
peer-review-process - organisation named in the AI Incident Database harm index.
- research-community
entity | 4 July 2025 | 70%
research-community - organisation named in the AI Incident Database harm index.
- unnamed-conference-paper-reviewers
entity | 4 July 2025 | 70%
unnamed-conference-paper-reviewers - organisation named in the AI Incident Database harm index.
- unnamed-peer-reviewers
entity | 4 July 2025 | 70%
unnamed-peer-reviewers - organisation named in the AI Incident Database harm index.
- Preprints Reportedly from Researchers from Multiple Universities Allegedly Contain Covert AI Prompts
event | 4 July 2025 | 78%
Hidden prompts reportedly were discovered in at least 17 academic preprints on arXiv that purportedly instructed AI tools to deliver only positive peer reviews. The lead authors are reportedly affiliated with 14 institutions in eight countries, including Waseda University, KAIST, Peking University, and the University of Washington. The alleged concealed instructions, some of which were reportedly embedded using white text or tiny fonts, were purportedly intended to influence…