DATDAT-001 — Data Quality and Completeness Issues
Frontier AI Models Reproduce Bias and Generate Harmful Content Across Modalities
3/5Sector: OtherGeography: UKStage: DevelopIngested: —
Executive Summary
Frontier AI systems amplify embedded biases including misogynistic, ageist, and white supremacist content drawn from skewed training data, and can be manipulated into producing abusive or discriminatory outputs across text, image, and audio. Boards deploying such systems face reputational, legal, and regulatory exposure if adequate bias auditing and content controls are not in place.
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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