GOVGOV-001 — Accountability Framework Gaps
AI Model Testing on Inputs Unrepresentative of Real Deployment Conditions
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Models tested on mismatched inputs produce unreliable performance assessments that fail to reflect live operational risk. Boards approving deployment based on such evaluations carry unmitigated liability when real-world failures emerge.
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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