AI RESEARCH
Constitutional Black-Box Monitoring for Scheming in LLM Agents
arXiv CS.AI
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ArXi:2603.00829v2 Announce Type: replace-cross Safe deployment of Large Language Model (LLM) agents in autonomous settings requires reliable oversight mechanisms. A central challenge is detecting scheming, where agents covertly pursue misaligned goals. One approach to mitigating such risks is LLM-based monitoring: using language models to examine agent behaviors for suspicious actions.