AIBearisharXiv – CS AI · Jun 47/10
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The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous Agents
Researchers studying runtime safety for autonomous AI agents found that affect-based triggers and LLM judges fail to reliably determine when to interrupt agents during task execution. The core problem: human annotators themselves cannot consistently agree on intervention timing, suggesting the task itself lacks reproducibility rather than detector accuracy being the primary issue.
🧠 GPT-5