• Science, Volume 391, Issue 6787, Page 787-792, February 2026.
Article Summaries:
- The article presents a framework for universal steering and monitoring of AI models, aiming to standardize alignment and safety across diverse architectures. It introduces a modular interface that lets external controllers adjust model behavior in real time and a monitoring system that tracks compliance with policy constraints. The authors validate the approach on large language and vision models, reporting reduced hallucinations and improved adherence to user intent. They also outline how the framework could support regulatory oversight and facilitate cross‑model interoperability. The study highlights challenges in scalability, interpretability, and the need for further empirical evaluation.
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