GOVGOV-006 — Audit and Assurance Gaps
AI Model Outputs Cannot Be Traced to Training Data Sources
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems produce outputs whose origins in training data are fundamentally opaque, preventing verification of provenance or bias. Regulators and boards cannot discharge accountability duties without traceable audit trails linking outputs to source material.
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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