DATDAT-002 — Data Privacy and Protection Failures
Generative AI Systems Leaking Sensitive Personal and Biometric Data
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models present a documented risk of exposing biometric, health, location, and other sensitive personal data through leakage or unauthorised de-anonymisation. Boards face regulatory liability and reputational damage where AI governance frameworks fail to control data handling within these systems.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024) ↗https://airisk.mit.edu/
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