DATDAT-002 — Data Privacy and Protection Failures
Large Language Model Systems Leak Sensitive Personal Information in Generated Output
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
LLM systems produce outputs containing sensitive personal data, exposing organisations to regulatory breach and reputational harm. Boards must treat privacy leakage as a primary model risk requiring mandatory pre-deployment assessment and ongoing monitoring.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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