AI Observability & Control

Description

This video outlines the critical architecture and principles required for governing AI systems within strictly regulated technical environments. The documentation emphasizes that comprehensive observability must be integrated into a system's design to track both known signals and unpredictable behavioral shifts. A corresponding visual diagram illustrates a multi-layered control plane that manages how AI services interact with operational technology through rigorous validation checks and human-in-the-loop oversight. Central to this framework is the concept that increased system authority necessitates more stringent anomaly detection and faster response protocols. By maintaining an evidence and audit plane, organizations can ensure that every automated decision is backed by traceable records and rollback capabilities. Ultimately, the materials argue that visibility is the fundamental prerequisite for trust and operational safety in AI deployments. #appendix-ai-observability-control