GOVGOV-006 — Audit and Assurance Gaps
Concept Drift Degrades AI Model Reliability Over Time
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models lose predictive accuracy when real-world data patterns shift away from training conditions, a failure mode known as concept drift. Without active monitoring and retraining protocols, government AI systems will produce unreliable outputs, exposing agencies to flawed decisions and accountability failures.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024) ↗https://airisk.mit.edu/
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