AINeutralarXiv – CS AI · 5h ago6/10
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The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
Researchers present evidence that safe autonomous AI prescribing requires three architectural safeguards: calibrated confidence thresholds, differentiated uncertainty communication, and decision transparency. A clinician survey of 136 U.S. prescribers reveals these features would substantially increase adoption but would effectively reduce AI systems from true autonomous agents to supervised decision-support tools.