DATDAT-002 — Data Privacy and Protection Failures
AI Systems Exposing Personal Data Through Inadequately Secured Channels
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI deployments create exploitable vulnerabilities through which personal information can be accessed without authorisation. Boards face regulatory exposure and loss of user trust where data governance frameworks fail to address AI-specific privacy risks.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance (Teixeira2022) ↗https://airisk.mit.edu/
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