safety-monitoring

OpenAI introduces Private Safety Processing, a privacy-focused service for monitoring AI misuse without retaining customer data, to compete with Anthropic's data retention policies.

Introduces AERIC, a lightweight hidden-state monitoring method for detecting implicit harmful content in LLM dialogue without extra forward passes, achieving improved AUROC over strong baselines with minimal latency overhead.

This paper introduces a method for monitoring the reasoning process of Large Reasoning Models by analyzing probe trajectories—the evolution of a concept's probability across generated tokens. The approach uses temporal and signal-processing features from hidden representations to better predict future model behavior, achieving up to 95% AUROC with max-pooling.