DATDAT-002 — Data Privacy and Protection Failures
Language Model Training Data Leakage Exposes Private User Information
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Language models trained on data containing personal information can reproduce and leak that data, replicating the harms of deliberate doxing. Boards face regulatory exposure and reputational liability where such systems process or were trained on personal data.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Taxonomy of Risks posed by Language Models (Weidinger2022) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.