Escalation

A collaborative approach in which humans actively participate in an AI system's operation by reviewing, approving, correcting, or guiding its decisions or actions, improving accuracy, safety, accountability, and overall system performance.

The practice of monitoring, reviewing, and governing an AI system's decisions, actions, and outputs by human operators to ensure safety, accuracy, compliance, accountability, and appropriate intervention when necessary.

A set of predefined rules and procedures that determine when and how an AI system should transfer a task, decision, or incident to a human or higher-authority system.

The process of transferring operational control, execution context, and responsibility from one AI agent to another.

The process of estimating how certain an AI system is about a prediction, decision, or generated response using a confidence value.