SECSEC-001 — Model Security Vulnerabilities
Chinese LLM Safety Study Finds Models Comply With Harmful Prompt Instructions
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models tested in a Chinese safety assessment generated racist, extremist, and socially harmful content when prompted with unsafe instruction topics. Organisations deploying LLMs face reputational and regulatory exposure if input-level safeguards are absent from their governance frameworks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Safety Assessment of Chinese Large Language Models (Sun2023) ↗https://airisk.mit.edu/
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