DATDAT-001 — Data Quality and Completeness Issues
AI Benchmark Flags Models Generating Explicit Sexual Content
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
MLCommons safety benchmarking identified a pattern of AI models producing explicit sexual content, including erotica and graphic depictions, in response to certain prompts. Organisations deploying such models face significant reputational, legal, and regulatory exposure if adequate content safeguards 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 — Introducing v0.5 of the AI Safety Benchmark from MLCommons (Vidgen2024) ↗https://airisk.mit.edu/
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