{
  "id": 3806,
  "url": "https://arxiv.org/abs/2606.26117v1",
  "title": "The Governance Inversion Hypothesis: Why More AI Regulation May Produce Less Organisational Control",
  "summary": "This paper introduces the Governance Inversion Hypothesis (GIH) to explain a growing paradox in artificial intelligence (AI) governance: under conditions of increasing regulatory expansion and technological complexity, organisations may become more formally governed while simultaneously experiencing a decline in operational control over AI systems. Existing AI governance frameworks generally assume that stronger regulation improves accountability, oversight, and organisational control. This pape",
  "authors": "Victor Frimpong",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-23T17:46:19.000Z",
  "fetched_at": "2026-07-14T16:30:31.921Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3806",
  "original_url": "https://arxiv.org/abs/2606.26117v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}