{
  "id": 10550,
  "url": "https://arxiv.org/abs/2605.16281",
  "title": "Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents",
  "summary": "arXiv:2605.16281v2 Announce Type: replace Abstract: Post-deployment accountability has become central to AI governance, yet little empirical evidence shows whether monitoring, incident reporting, and impact assessment obligations are visible when AI systems fail. This study analyzes real-world AI incidents from the AI Incident Database (2020--2026) and codes them against nine post-deployment provisions from the EU AI Act, the NIST AI Risk Management Framework, and the GDPR. The findings show sub",
  "authors": "Ummara Mumtaz, Summaya Mumtaz",
  "category": "research",
  "topics": "regulation,privacy-surveillance,transparency",
  "orgs": null,
  "regions": "eu",
  "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/10550",
  "original_url": "https://arxiv.org/abs/2605.16281",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}