{
  "id": 14865,
  "url": "https://arxiv.org/abs/2607.28023",
  "title": "Scaling, Lock-In, and Proxy Compliance: A Political Economy of Responsible AI",
  "summary": "arXiv:2607.28023v1 Announce Type: new Abstract: AI accountability at scale is an institutional problem: who can observe, verify, and change deployed systems. We develop a sequential political-economy model in which an AI vendor chooses auditability and substantive mitigation, a deployer monitors after adoption while facing switching costs, and enforcement depends on verifiable evidence. Anticipating the deployer's monitoring response, the vendor may stop at an observable procurement floor while",
  "authors": "Florian A. D. Burnat, Brittany I. Davidson",
  "category": "research",
  "topics": "regulation,jobs-economy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-31T04:00:00.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "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/14865",
  "original_url": "https://arxiv.org/abs/2607.28023",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}