Safety Beyond the Interface: Detecting Harm via Latent States in Large Language Models

A research paper proposes detecting harmful intent in LLMs by analyzing their internal latent states rather than just their outputs, potentially improving safety monitoring.

Auto-scored: This is a real but partial technical step toward better AI safety monitoring, with no direct risk escalation.