DATDAT-001 — Data Quality and Completeness Issues
Generative AI Systems Bypass Access Controls to Produce Illegal Content
4/5Sector: LegalGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models produce illegal and harmful content at scale, including sexual abuse material, despite existing API-level filters. Legal exposure and reputational liability are substantial for organisations deploying or procuring general-purpose AI without robust content governance frameworks.
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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