How an assessor could investigate control and monitoring of internal AI agents

Summary

The source proposes a framework for control assessments, which test whether AI developers' internal agents could cause serious harm without being stopped by security and oversight measures. It centers on five sub-questions covering monitor coverage, monitor vulnerabilities, monitor evasion, human response, and impact, with LLM-based monitoring as the main focus.

Topics

• AI agents