GOVGOV-006 — Audit and Assurance Gaps
AI Complexity Blocks Causal Accountability in Harm Attribution
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
The opacity of large AI systems prevents regulators and courts from establishing clear causal links between model behaviour and real-world harm. This accountability gap undermines liability frameworks and exposes public institutions to ungovernable systemic risk.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗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.