ReA-Bench: A Diagnostic Benchmark for Auditing Responsible Agent Behavior

Summary

ReA-Bench is a new diagnostic benchmark for auditing responsible agent behavior, introduced by researchers to address gaps in existing evaluation methods. It organizes auditing challenges into six tiers, including internal safety knowledge, contradictions, evidence retrieval, source verification, indirect steering, and missing information, using real production and red-team trajectories. The benchmark includes benign cases that resemble risky actions and paired trajectory versions to test reliability of auditors under varied conditions.

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Why it matters by industry

• Artificial intelligence

  For AI model developers and auditors, this benchmark provides a structured way to evaluate and improve agent auditing systems, directly addressing gaps in current risk detection and false positive rates.