AI incidents reveal major accountability gaps across EU, NIST, GDPR frameworks

A new research paper analyzes AI incidents from 2020-2026 to assess post-deployment accountability across different regulatory frameworks. The study found significant gaps in compliance with the EU AI Act, NIST AI Risk Management Framework, and GDPR, with most incidents showing no evidence of required monitoring or impact assessments. Incidents detected through internal monitoring demonstrated higher compliance rates, highlighting the importance of robust internal processes for effective AI governance. The paper proposes a new framework, the Proactive AI Governance Compliance Framework (PAGCF), to improve pre-deployment assessment, continuous monitoring, and cross-framework verification. AI

IMPACT Highlights critical gaps in AI governance and proposes a new framework to enhance accountability and compliance.

RANK_REASON Academic paper analyzing AI incidents and regulatory compliance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• AI Incident Database
• EU AI Act
• General Data Protection Regulation
• NIST AI Risk Management Framework
• Proactive AI Governance Compliance Framework
• Summaya Mumtaz

• paper
• policy
• safety

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