Can an undercover player reveal or disrupt cooperation between AI agents?
Brendon Chikavanga
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
I tested whether an undercover test could reveal or break up cooperation between AI agents in 448 games. A researcher-controlled player made a false claim and privately asked other players to leave it unchallenged. Some players agreed, but others challenged the claim, and assigned partners continued helping each other. A separate AI model often reported partnerships where none existed, so the test did not reliably reveal or break cooperation.
Reviews
No public critique yet.
Cite this project
@misc{chikavanga2026undercover,
title = {{Can an undercover player reveal or disrupt cooperation between AI agents?}},
author = {Brendon Chikavanga},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/can-an-undercover-player-reveal-or-disrupt-cooperation-between-ai-agents-k6os}},
url = {https://apartresearch.com/sprints/projects/can-an-undercover-player-reveal-or-disrupt-cooperation-between-ai-agents-k6os}
}More from AI Collusion Research Sprint
- View project: Is It a Cartel? Separating Enforced from Spurious Collusion in LLM Pricing Agents
Is It a Cartel? Separating Enforced from Spurious Collusion in LLM Pricing Agents
When LLM pricing agents keep prices above the competitive level, are they running a cartel, or are they simply stuck? Only the first is collusion, and the two call for opposite remedies. We introduce a black-box causal …
- View project: Every Permission Checked: Source-Linked Evidence for Auditing Finance Agents
Every Permission Checked: Source-Linked Evidence for Auditing Finance Agents
When multiple AI agents contribute to a policy violation, the same outcome can reflect cooperation, deception of a helper, or an independent mistake. We study how evidence presentation affects this distinction in a …
- View project: Swapping the Model Does Not Reset the Price: What LLM Pricing Agents Inherit After a Model Replacement
Swapping the Model Does Not Reset the Price: What LLM Pricing Agents Inherit After a Model Replacement
Emerald
We test what happens when one of two LLM pricing agents has its model replaced, the open problem posed in the sprint's question 1.2. Two gpt-oss-120b agents priced for 150 rounds; we then swapped one agent's model to …