DATDAT-003 — Data Bias and Fairness Oversights
AI Model Decision Bias Systematically Disadvantages Protected Groups
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI models trained on biased data produce outputs that unfairly advantage certain groups over others, embedding discrimination into automated decisions at scale. Boards face material legal, reputational, and regulatory exposure where such systems influence consequential outcomes without adequate bias auditing.
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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