DATDAT-001 — Data Quality and Completeness Issues
Generative AI Models Producing Directly Harmful Content to Users
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI systems can generate outputs that are intrinsically dangerous to individuals or groups, independent of misuse intent. Boards face regulatory and reputational exposure where content safety controls are absent or unaudited.
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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