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papersSEP 10 04:00 UTC

AgentAudit: Open Framework Evaluates AI Agents Across Their Full Lifecycle

A new arXiv paper introduces AgentAudit, an open and extensible framework for auditing the trustworthiness of AI agents. The authors contend that today's benchmarks examine only slices of agent behavior, such as task success or robustness against attacks, and instead propose measuring every stage of an agent's operation, including planning, tool use, memory, and reasoning. The design is meant to be extendable so that new evaluation checks can be added over time.

arXivAgentAuditAI agentsAI auditingai-benchmarksai-trustworthiness

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