Prioritizing Real-Time Failure Detection in AI Agents

2026

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AI-generated summary

This paper provides a framework for determining when and why real-time failure detection is crucial for AI agents.
* Explores the unique failure modes introduced by AI agents' ability to effect change in the environment.
* Introduces a stakes-reversibility-affordances framework to prioritize detection needs.
* Outlines a layered schema for failure detection across agent planning, tool use, and execution.
Tags: AI agents, failure detection, real-time monitoring, risk assessment, safety

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