GOVGOV-006 — Audit and Assurance Gaps
Opacity in AI Decision-Making Processes Undermines Public Accountability
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Neural network architectures resist interpretable explanation, leaving consequential decisions without auditable reasoning trails. Governments deploying such systems face legal challenge and eroded public trust where accountability cannot be demonstrated.
Domain
Governance & Compliance
Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.
Source
MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016) ↗https://airisk.mit.edu/
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