{
  "id": 16280,
  "url": "https://arxiv.org/abs/2608.03584v1",
  "title": "Policy Fragmentation or Institutional Alignment? Institutional Governance of AI in Universities and Business Schools",
  "summary": "Artificial intelligence (AI) is rapidly transforming high-skilled domains, requiring higher education institutions (HEI) to balance the teaching of foundational principles with the integration of emerging tools to ensure workforce readiness. While HEI are increasingly adopting AI, many continue to grapple with how it should be incorporated into curricula and governed through policy, especially when such policies are set at different levels of an institution. This research analyzes AI policies ac",
  "authors": "Lydia Manikonda, Dominique Outlaw",
  "category": "research",
  "topics": "regulation,safety-alignment,jobs-economy,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T12:39:33.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/16280",
  "original_url": "https://arxiv.org/abs/2608.03584v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}