Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents
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
Record details
Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Privacy · Transparency
Retrieved: 16 July 2026
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How to cite this record
ethics.ai (16 July 2026), “Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents,” evidence record 10550, https://ethics.ai/record/10550 (originally published by arXiv cs.CY).
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