Preprints Reportedly from Researchers from Multiple Universities Allegedly Contain Covert AI Prompts
Description
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 any reviewers who rely on AI tools.
Actors
Alleged Deployers
- unnamed-peer-reviewers
- unnamed-conference-paper-reviewers
Alleged Developers
- large-language-model-developers
Harmed Parties
- peer-review-process
- academic-integrity
- academic-conferences
- research-community
Classification
Risk Domain
Malicious Actors & MisuseRisk Subdomain
4.3. Fraud, scams, and targeted manipulation
MIT Risk Profile
Source
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Research Papers on This Topic
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Regulating ChatGPT and other Large Generative AI Models
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack