trusted monitoring

An AI-control protocol in which outputs or actions from an untrusted model are reviewed for suspicious or dangerous behavior by a monitor that is assumed not to intentionally subvert the protocol, often because the monitor is less capable, with suspicious cases handled by measures such as auditing, blocking, editing, or deferral.