Towards a Science of AI Agent Reliability

2026

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AI-generated summary

1) This paper introduces a framework for evaluating AI agent reliability, highlighting a critical gap between current capabilities and dependable real-world performance.
2) * Proposes a formal taxonomy and metric suite for agent reliability, independent of task success.
* Presents a comprehensive reliability profile of modern agents, identifying key areas for improvement.
* Analyzes the disconnect between capability gains and reliability progress, suggesting a need for targeted development.
3) AI agents, reliability, evaluation, metrics, safety

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