DATDAT-003 — Data Bias and Fairness Oversights
Biased Training Data Causes Discriminatory Generative AI Outputs
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Generative AI models trained on skewed internet data, such as Reddit-sourced text, systematically reproduce social biases including anti-feminist content in their outputs. Boards deploying such models face reputational, regulatory, and equality-law exposure if training data provenance is not audited and governed.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) ↗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.