DATDAT-002 — Data Privacy and Protection Failures
Generative AI Systems Reproducing Private and Copyrighted Data
3/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models trained on unlawfully collected data risk reproducing personally identifiable information, medical records, and copyrighted content. Government bodies face regulatory liability and reputational harm where procurement and deployment lack robust data governance controls.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023) ↗https://airisk.mit.edu/
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