DATDAT-003 — Data Bias and Fairness Oversights
Generative AI Models Reproduce Social Bias and Discriminatory Stereotypes
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models systematically encode and amplify unfair stereotypes across gender, race, and religion, producing discriminatory outputs at scale. Organisations deploying these systems face regulatory exposure and reputational liability without robust bias evaluation and mitigation controls.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023) ↗https://airisk.mit.edu/
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