Escalation Policy

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.

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

A choice made by evaluating potential outcomes alongside their associated uncertainties, hazards, and probabilities.

An AI agent specialized in assisting customers by answering questions, resolving issues, providing guidance, and automating support interactions.