GOVGOV-001 — Accountability Framework Gaps
AI Benchmark Contamination Produces Misleading Performance Scores
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Models trained on evaluation datasets return inflated scores that misrepresent true capability. Regulators and procurers relying on contaminated benchmarks cannot make sound decisions about AI system safety or fitness for purpose.
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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