DATDAT-001 — Data Quality and Completeness Issues
Generative AI models produce harmful and discriminatory content from routine user inputs
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI models spontaneously generate sexualised, toxic, or ethnically discriminatory content in response to ordinary requests, without explicit harmful intent from users. Organisations deploying such models face regulatory liability, reputational damage, and potential breach of equality and online safety obligations.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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