DATDAT-003 — Data Bias and Fairness Oversights
Generative AI Systems Embed and Amplify Bias Against Marginalised Groups
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI amplifies harmful biases across the full machine learning pipeline, including modelling choices, compression, and hardware, not data alone. Boards face legal, reputational, and regulatory exposure where AI products cause representational harm to protected or marginalised groups.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.