Towards a Science of AI Agent Reliabilit

2026

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AI-generated summary

1) This paper introduces a science of AI agent reliability by proposing a four-dimensional framework and concrete metrics to evaluate AI agents beyond simple task accuracy.
2) * A formal taxonomy and metric suite for evaluating AI agent reliability, independent of task success.
* A comprehensive reliability profile of modern agents, identifying key areas for research.
* Analysis of real-world failures to demonstrate how reliability metrics could have provided early warning signals.
3) AI agents, reliability, evaluation, metrics, safety

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