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Researchers develop new behavioral profiling method to measure how AI agents balance task execution with safety refusals in real-world deployments
arXiv cs.AI · April 15, 2026
AI Summary
- •Study introduces A-R space framework measuring Action Rate and Refusal Signal to assess LLM agent behavior at execution level rather than just task success
- •Tests models across four normative regimes (Control, Gray, Dilemma, Malicious) and three autonomy configurations (direct execution, planning, reflection)
- •Reveals how execution and refusal patterns shift based on contextual framing and autonomy scaffold depth, moving beyond simple aggregate safety scores
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