DATDAT-002 — Data Privacy and Protection Failures
AI Systems Enabling Privacy Violations Across Sensitive Personal Data
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
A systematic review identifies privacy breach as a leading AI ethics failure, affecting nearly 14% of studied deployments through surveillance and data misuse patterns. Boards without explicit AI privacy governance frameworks face mounting regulatory exposure under UK GDPR and emerging AI liability regimes.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024) ↗https://airisk.mit.edu/
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