DATDAT-002 — Data Privacy and Protection Failures
Private Personal Data Ingested into LLM Training Corpora
3/5Sector: EducationGeography: GlobalStage: DevelopIngested: —
Executive Summary
Large language models trained on web-scraped and conversational data risk encoding personally identifiable information, including names, addresses, and career records, without consent. Educational institutions deploying such models face regulatory liability and reputational harm if student or staff data is implicated.
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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