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Bootstrapped Monitoring: Leveraging Transparent Reasoning to Oversee Stronger AI Agents

Xiao, Frank, Phuong, MaryarXiv.orgPublished Jun 10, 2026Original︎ ↗Archived copy

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But as the capability gap widens and CoT transparency degrades with scale, both signals weaken.

AI oversight success rates decline as the capability gap between overseer and overseen system grows.Supported

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Trusted monitoring is a cornerstone of AI control. However, as frontier models grow more capable, the increasing capabilities gap between trusted and untrusted models may render trusted models unreliable monitors. [...] Bootstrapped monitoring substantially improves catch rates over trusted-only monitoring, even when the untrusted monitor actively colludes with the agent, provided we have access to its raw chain-of-thought.

Developers' control of an AI system's inputs, memory, copies, and internals offsets a moderate capability advantage over its overseers.Doubtfulmentions

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Bootstrapped Monitoring: Leveraging Transparent Reasoning to Oversee Stronger AI Agents

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Kind: unknown
Authors: Xiao, Frank, Phuong, Mary
Publisher: arXiv.org
Published: Jun 10, 2026
DOI: None
Link: https://arxiv.org/abs/2606.11998
Archived copy: https://web.archive.org/web/20260731160204/https://arxiv.org/abs/2606.11998
Stored text: 4,448 characters, retrieved Nov 11, 2026 · 47 sections, 53 passages
Claims extracted: Not recorded
Versions: One known
Copies: None recorded
Corrections: None recorded
Facts checked: Nov 11, 2026

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