DATDAT-002 — Data Privacy and Protection Failures
General-Purpose AI Systems Enabling Inadvertent and Deliberate Privacy Violations
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI causes privacy breaches through unauthorised data processing in training and deliberate misuse by malicious actors to infer sensitive personal information. Organisations face regulatory exposure under data protection law and reputational harm if AI governance frameworks fail to address both inadvertent and intentional privacy risks.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025) ↗https://airisk.mit.edu/
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