GOVGOV-006 — Audit and Assurance Gaps
AI Systems Cannot Reliably Identify the Sources Behind Their Outputs
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
AI source attribution relies on approximations, meaning systems routinely misidentify or fabricate the origins of their generated content. Governments and organisations deploying these systems face legal, accountability, and public trust risks when provenance cannot be verified.
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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