{
  "id": 5301,
  "url": "https://arxiv.org/abs/2604.24686v1",
  "title": "Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents",
  "summary": "Autonomous AI agents can remain fully authorized and still become unsafe as behavior drifts, adversaries adapt, and decision patterns shift without any code change. We propose the \\textbf{Informational Viability Principle}: governing an agent reduces to estimating a bound on unobserved risk $\\hat{B}(x) = U(x) + SB(x) + RG(x)$ and allowing an action only when its capacity $S(x)$ exceeds $\\hat{B}(x)$ by a safety margin. The \\textbf{Agent Viability Framework}, grounded in Aubin's viability theory, ",
  "authors": "German Marin, Jatin Chaudhary",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-27T16:46:15.000Z",
  "fetched_at": "2026-07-14T16:31:40.219Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5301",
  "original_url": "https://arxiv.org/abs/2604.24686v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}