DATDAT-001 — Data Quality and Completeness Issues
AI Benchmark Permits Hate Speech Targeting Non-Protected Groups
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
The MLCommons AI safety benchmark permits AI systems to demean or dehumanise individuals based on profession, political affiliation, or criminal history. Organisations deploying such models face reputational and regulatory exposure where outputs cause harm beyond narrowly defined protected characteristics.
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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