DATDAT-003 — Data Bias and Fairness Oversights
AI Systems Cause Discriminatory Outcomes Against Protected Groups
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Automated and algorithmic systems produce unfair treatment of individuals based on protected characteristics including race, gender, age, and disability. Organisations face significant legal liability and reputational damage where such discrimination is embedded in deployed AI decision-making.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024) ↗https://airisk.mit.edu/
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