DATDAT-003 — Data Bias and Fairness Oversights
Discriminative Data Bias Produces Systematically Unfair AI Decisions
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Skewed or under-representative training data embeds discrimination into AI models, producing outputs that disadvantage identifiable groups. Boards face regulatory exposure and reputational harm where biased decisions affect customers, employees, or protected classes.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024) ↗https://airisk.mit.edu/
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