SECSEC-001 — Model Security Vulnerabilities
Role-play prompts bypass LLM safety filters to generate extremist content
5/5Sector: GovernmentGeography: USAStage: OperateIngested: —
Executive Summary
Large language models can be manipulated through role-assignment instructions to produce extremist, incitement-adjacent content whilst suppressing standard AI refusals. Organisations deploying public-facing LLMs face regulatory and reputational exposure where such outputs breach online safety or counter-terrorism obligations.
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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