DATDAT-003 — Data Bias and Fairness Oversights
Systematic Bias in AI Decision-Making Creates Legal Exposure
4/5Sector: LegalGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems trained on skewed data or poorly designed algorithms produce decisions that consistently disadvantage protected groups. Legal liability follows, as discriminatory outcomes breach equality law and expose organisations to regulatory sanction and litigation.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023) ↗https://airisk.mit.edu/
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