{
  "id": 10536,
  "url": "https://arxiv.org/abs/2607.13040",
  "title": "Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance",
  "summary": "arXiv:2607.13040v1 Announce Type: new Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows. It compares two governance models. The first, frontier-provider sovereignty, assigns privileged authority to the provider of the most capable models and is reflected in contemporary arguments for frontier-model testing, release gating, transparency duties, and compute-related controls. The second, action-centered deployer sovereign",
  "authors": "Zexun Wang",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T04:00:00.000Z",
  "fetched_at": "2026-07-16T05:10:56.605Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/10536",
  "original_url": "https://arxiv.org/abs/2607.13040",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}