{
  "id": 11796,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03257-6",
  "title": "The shared blind spot: why diverse AI governance approaches fail for the same reason",
  "summary": "AI governance instruments are proliferating, and so are their difficulties. Across major jurisdictions and international bodies, reform efforts built on substantially different premises encounter a recognizably similar pattern of failure. I argue that anticipatory regulatory governance rests on three operational premises —categorical stability, epistemic accessibility, and manageable pace—and that AI’s emergence, opacity, and velocity violate all three in compound. These premises form a distinct",
  "authors": null,
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-19T00:00:00.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/11796",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03257-6",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}