{
  "id": 1397,
  "url": "https://arxiv.org/abs/2606.15563v1",
  "title": "Minimal Oversight: Uncertainty-Aware Governance for Delegated AI Systems",
  "summary": "AI systems increasingly delegate decisions to specialized models, evaluators, tools, and supervisory controllers. The central AI problem is no longer only model accuracy, but uncertainty-aware governance: how much autonomy to grant, which evidence should calibrate trust, what performance ceiling a delegated AI system can sustain, and when human intervention becomes necessary. We propose the Minimum Sufficient Oversight Principle (MSO), a variational principle for principled autonomy delegation: ",
  "authors": "Carlos R. B. Azevedo",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-04T22:29:45.000Z",
  "fetched_at": "2026-07-14T14:15:12.460Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1397",
  "original_url": "https://arxiv.org/abs/2606.15563v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}