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Sprint projectOct 26, 2026Montreal

On Being Honest in Collusive Places

Anas Elghoudane · Team UdeM AI

Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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We rebuild Rosenhan's (1973) pseudo-patient study for collusion oversight: 90 games of Liar's Bar played by Qwen3-30B agents, with no secret channel, a real colluding pair, or a colluder paired with an undercover auditor that accepts the channel, plays honestly and files a report. Three LLM overseers (Qwen3-30B, phi-4, gpt-oss-120b) rate every seat under 18 prompt conditions. On clean games, a note saying that a seat joined a secret channel raises its rated probability of an arrangement from 29-49 to 83-85 (0-100 scale). Shown the channel, overseers convict the auditor along with the colluder; only a platform record naming the auditor exposes the pair (89% to 100% of ratings). The same record naming the colluder inverts the verdict for two of three overseers (85% and 91%), and a record placed in a system turn blocks this for one of three. A count of declined challenges in the public log separates colluders from clean seats (AUROC 0.80) better than any overseer (0.27 to 0.58).

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Cite this project

@misc{elghoudane2026being,
  title = {{On Being Honest in Collusive Places}},
  author = {Anas Elghoudane},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/on-being-honest-in-collusive-places-e5qe}},
  url = {https://apartresearch.com/sprints/projects/on-being-honest-in-collusive-places-e5qe}
}

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