A study analyzing over 40,000 game runs where players acted as human-in-the-loop for AI agents revealed that humans missed approximately one in three threats. The game simulated scenarios where AI agents requested command approvals, with a significant portion of these commands being malicious. Players struggled most with commands disguised as routine scripts, such as `npm run analyze`, which were approved at a high rate despite explicit warnings in the execution log. This highlights potential vulnerabilities in human oversight of AI agents, especially under time pressure, where users may not scrutinize commands closely enough. AI
IMPACT Highlights potential security risks in human oversight of AI agents, suggesting a need for improved threat detection and user education.
RANK_REASON Analysis of a game simulating AI agent command approval, providing statistics on human error rates.
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