{
  "id": 5756,
  "url": "https://arxiv.org/abs/2604.15505v1",
  "title": "PolicyBank: Evolving Policy Understanding for LLM Agents",
  "summary": "LLM agents operating under organizational policies must comply with authorization constraints typically specified in natural language. In practice, such specifications inevitably contain ambiguities and logical or semantic gaps that cause the agent's behavior to systematically diverge from the true requirements. We ask: by letting an agent evolve its policy understanding through interaction and corrective feedback from pre-deployment testing, can it autonomously refine its interpretation to clos",
  "authors": "Jihye Choi, Jinsung Yoon, Long T. Le, Somesh Jha, Tomas Pfister",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-16T20:29:30.000Z",
  "fetched_at": "2026-07-14T16:31:57.535Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5756",
  "original_url": "https://arxiv.org/abs/2604.15505v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}