GOVGOV-001 — Accountability Framework Gaps
AI Benchmarks Systematically Misrepresent Model Capabilities
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI benchmarks routinely both underestimate and overestimate system capabilities through saturation, insufficient scope, or training data contamination. Regulators and procurers relying on benchmark scores to make safety or deployment decisions risk acting on fundamentally misleading evidence.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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