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Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures
First empirical study of RL-calibrated decisions as a zero-shot detector of alignment failures — a cheap safety check for autonomous agents before they act.