DATDAT-003 — Data Bias and Fairness Oversights
General-Purpose AI Systems Amplify Systemic Discrimination at Scale
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI models embed and propagate societal biases, creating or worsening inequalities across large user populations. Boards face regulatory liability and reputational harm if deployed systems cannot demonstrate fairness controls and bias audit trails.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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