{
  "id": 4329,
  "url": "https://arxiv.org/abs/2605.14744v1",
  "title": "Mechanical Enforcement for LLM Governance:Evidence of Governance-Task Decoupling in Financial Decision Systems",
  "summary": "Large language models in regulated financial workflows are governed by natural-language policies that the same model interprets, creating a principal--agent failure: outputs can appear compliant without being compliant. Existing evaluation measures task accuracy but not whether governance constrains behaviour at the decision rationale level -- where regulated decisions must be auditable. We introduce five governance metrics that quantify policy compliance at the rationale level and apply them in",
  "authors": "José Manuel de la Chica Rodríguez, Carlos Martí-González",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-14T12:12:42.000Z",
  "fetched_at": "2026-07-14T16:30:54.922Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4329",
  "original_url": "https://arxiv.org/abs/2605.14744v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}