Human-on-the-Loop

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 transferring a task, decision, or interaction from an AI system to a human or another specialized agent when predefined conditions, limitations, or risks are encountered.

A workflow in which one or more human reviewers must approve, modify, or reject an AI system's decisions or actions before execution, ensuring oversight, quality control, compliance, or risk mitigation.

An AI agent that independently perceives, reasons, plans, and executes actions to achieve goals with minimal or no human intervention.