DATDAT-002 — Data Privacy and Protection Failures
Generative AI Systems Reconstruct Redacted and Inferred Private Data
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI introduces novel exposure risks by reconstructing censored content and surfacing inferred sensitive attributes that individuals never disclosed. Boards face regulatory liability and reputational harm where existing data protection frameworks do not anticipate inference-based privacy violations.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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