DATDAT-002 — Data Privacy and Protection Failures
AI Systems Leaking Sensitive Personal and Financial Data in Model Outputs
4/5Sector: FinanceGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models risk exposing non-public personal data including bank account numbers, login credentials, and home addresses within generated responses. Regulatory breach under UK GDPR and direct financial harm to customers constitute material liability for finance sector boards.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024) ↗https://airisk.mit.edu/
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