{
  "id": 634,
  "url": "https://arxiv.org/abs/2606.25108v1",
  "title": "The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing",
  "summary": "Autonomous AI systems are transitioning from advisory to autonomous roles for medication prescriptions. Recent United States bill H.R. 238 and Utah's prescription-renewal pilot both authorize AI to prescribe medications in an agentic capacity. While some regulatory guidelines suggest aggregate model performance metrics for clearance, they do not require i) calibrated per-prediction confidence for action-gated thresholds, ii) differentiated communication of uncertainty arising from model ignoranc",
  "authors": "Eileanor LaRocco, Sarah Tan, Adarsh Subbaswamy, Anne Andrews, Andrew Taylor, Cree Gaskin et al.",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-06-23T19:28:52.000Z",
  "fetched_at": "2026-07-14T14:14:41.550Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/634",
  "original_url": "https://arxiv.org/abs/2606.25108v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}