DATDAT-001 — Data Quality and Completeness Issues
LLM Toxicity Generation Across Hate Speech and Abusive Language
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models can produce toxic outputs spanning hate speech, abusive language, violent speech, and profanity when prompted. Organisations deploying LLMs without systematic toxicity evaluation face reputational, legal, and regulatory exposure.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023) ↗https://airisk.mit.edu/
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