DATDAT-002 — Data Privacy and Protection Failures
PII and Sensitive Data Leakage Through AI Training Datasets
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models trained or fine-tuned on data containing personal or sensitive information risk disclosing that information through model outputs. Boards face regulatory exposure under data protection law and reputational liability if such disclosures affect individuals at scale.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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