DATDAT-001 — Data Quality and Completeness Issues
AI Benchmark Reveals Models Producing Child Sexual Exploitation Content
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Evaluated AI models were found capable of generating responses that describe, enable, or endorse the sexual abuse of minors. Boards face acute legal liability and reputational exposure where deployed systems lack verified safeguards against this category of output.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.