DATDAT-002 — Data Privacy and Protection Failures
AI Models Leak Personal Data From Training and Prompt Inputs
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models trained or prompted with personal data risk reproducing that information in generated outputs, constituting a data leakage incident. Organisations face regulatory exposure under data protection law and reputational harm if sensitive personal information is disclosed to unauthorised parties.
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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