GOVGOV-001 — Accountability Framework Gaps
Insufficient Training Data Documentation Undermines AI Accountability
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI systems deployed without adequate documentation of training datasets cannot be audited or challenged when outputs cause harm. Boards face regulatory exposure and reputational risk where data provenance remains opaque.
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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