DATDAT-003 — Data Bias and Fairness Oversights
Frontier AI Systems Amplify Discriminatory Bias Across All Output Modalities
3/5Sector: OtherGeography: UKStage: DevelopIngested: —
Executive Summary
Frontier AI models trained on internet-scale data systematically reproduce and amplify misogynistic, ageist, and white supremacist content across text, image, and other generative outputs. Organisations deploying these systems face material reputational, legal, and regulatory exposure if bias assurance is absent from procurement and governance frameworks.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Future Risks of Frontier AI (GOS2023) ↗https://airisk.mit.edu/
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