DATDAT-002 — Data Privacy and Protection Failures
Generative AI Training Data Exposes Personal Information Without Consent
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models ingest personal data without individuals' knowledge and can memorise and reproduce it verbatim, or enable pattern inference that exposes private details. Organisations face material data protection liability and reputational risk under GDPR and equivalent regimes.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) ↗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.