DATDAT-001 — Data Quality and Completeness Issues
Chinese LLM produces hostile, insulting responses to users
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models evaluated in China were found to generate openly hostile and disrespectful outputs, including direct personal insults directed at users. Deployment of such systems without adequate content controls risks reputational damage, user attrition, and regulatory scrutiny across any market.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023) ↗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.