DATDAT-003 — Data Bias and Fairness Oversights
Generative AI Systems Produce Harmful Stereotypes Through Skewed Identity Representation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI encodes derogatory or reductive portrayals of groups by misrepresenting, over-representing, or omitting specific identities in training data and outputs. Organisations deploying such systems face reputational, legal, and regulatory exposure under equality and non-discrimination frameworks.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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