GOVGOV-001 — Accountability Framework Gaps
AI Risk Metrics Misaligned With Actual Hazards in Government Systems
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Government AI deployments are measuring proxy indicators rather than true risk, leaving genuine hazards undetected and compliance frameworks built on false assurance. Boards approving AI systems based on flawed risk metrics face material liability when failures occur that oversight processes were never designed to catch.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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