GOVGOV-001 — Accountability Framework Gaps
AI Harms Evade Detection Due to Subtle and Long-Term Manifestation
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI systems produce harms that are diffuse, delayed, and resistant to standard measurement frameworks. Boards lacking structured monitoring protocols will consistently underestimate risk exposure and fail to meet emerging regulatory obligations.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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