DATDAT-003 — Data Bias and Fairness Oversights
Training Data Encodes Historical and Societal Bias into AI Models
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models trained on historically biased data replicate and scale those biases in their outputs. Boards face regulatory exposure and reputational harm if deployed systems produce discriminatory decisions at scale.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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