Story · arXiv

SteerBench-Work: A Benchmark for Agent Steering at Action Boundaries (arXiv)

paper · Story page

SteerBench-Work tests the pre-commit choice before consequential tool actions: proceed, or hold for review, across 106 incident-anchored workplace scenarios.

In plain words

  • A new test checks whether workplace artificial intelligence systems pause before risky actions or continue when evidence says they are safe.
  • Each case places the system just before an action such as sending email, combining code changes, or transferring money.
  • The test pairs each public incident with a version where the evidence supports the opposite decision.
  • Across 30 tested settings, systems wrongly blocked cleared work 28.1% of the time and allowed unsafe work 1.0%.
  • Designers may need to focus on unnecessary blocking, especially after reliable evidence has resolved a real risk.

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