METR and Redwood Research publish red-team report on OpenAI's agent monitoring
METR and Redwood Research published a joint report detailing a three-week pilot exercise that stress-tested OpenAI's internal misalignment monitoring system for AI agents. The exercise, conducted from July 21 to August 11, involved deep access to OpenAI's internal codebase and documentation, and produced a 61-page report shared with OpenAI researchers and security staff. The report focuses on estimating the fraction of agentic inference monitored and whether agents could disable or subvert the monitoring system.
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Redwood ResearchBuck Shlegeris
[Also posted on the METR blog] For three weeks, from July 21st to August 11th, a METR employee and a Redwood Research employee conducted a pilot high-access exercise to stress-test OpenAI’s internal misalignment monitoring system . 1 The output of this exercise was a 61-page internal report that was shared with OpenAI researchers and security staff, 2 primarily focused on estimating the fraction of agentic inference that is monitored, and whether agents could in principle disable or subvert the monitoring system. The exercise focused on the internal misalignment monitoring system as it existed on and before July 21st, and did not evaluate changes that were in progress at the time of the exercise. This exercise involved a deep level of access. The METR and Redwood employees had access to OpenAI’s internal codebase, misalignment-monitor prompts / configuration details, and internal documentation, and conducted technical interviews with approximately a dozen researchers and engineers acro
METR
For three weeks, from July 21st to August 11th, a METR employee and a Redwood Research employee conducted a pilot high-access exercise to stress-test OpenAI’s internal misalignment monitoring system. 1 The output of this exercise was a 61-page internal report that was shared with OpenAI researchers and security staff, 2 primarily focused on estimating the fraction of agentic inference that is monitored, and whether agents could in principle disable or subvert the monitoring system. The exercise focused on the internal misalignment monitoring system as it existed on and before July 21st, and did not evaluate changes that were in progress at the time of the exercise. This exercise involved a deep level of access. The METR and Redwood employees had access to OpenAI’s internal codebase, misalignment-monitor prompts / configuration details, and internal documentation, and conducted technical interviews with approximately a dozen researchers and engineers across the monitoring, safety-system
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