GOVGOV-006 — Audit and Assurance Gaps
Inaccessible Training Data Undermines Model Explainability
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models operating without accessible training data produce explanations that are inherently limited and prone to error. Boards risk breaching transparency obligations and losing audit defensibility where model decisions cannot be adequately justified.
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/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.