GOVGOV-006 — Audit and Assurance Gaps
Generative AI Transparency Gaps Across Technical and Organisational Accountability
3/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI systems lack both mechanistic interpretability and organisational openness, leaving users uninformed about model limitations and internal risks. Boards face mounting compliance exposure as documentation and risk-reporting obligations go unmet across the AI development lifecycle.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (Hagendorff2024) ↗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.