DATDAT-001 — Data Quality and Completeness Issues
AI Systems Generating Self-Harm and Suicide Enabling Content
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Benchmark testing reveals AI models can produce responses that encourage or enable intentional self-harm, including suicide and self-injury. Organisations deploying general-purpose AI without harm-specific safeguards face serious duty-of-care and reputational liability.
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/
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