GOVGOV-006 — Audit and Assurance Gaps
AI Systems Produce Outputs That Cannot Be Adequately Explained
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models routinely generate decisions without yielding coherent or accurate explanations for their reasoning. Regulators and auditors increasingly require explainability, exposing organisations to legal challenge and reputational harm when justifications cannot be produced.
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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