Human Oversight
Also called: Human Supervision
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.
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Related terms
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.
Human-on-the-LoopHOTLA collaborative approach in which an AI system operates autonomously while humans supervise its behavior, monitor outcomes, and intervene only when necessary to correct, override, or stop its decisions or actions.
Human Approval WorkflowA 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.
EscalationThe 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.
Governance PolicyA formal set of rules, principles, and operational requirements that defines how an AI system is developed, deployed, monitored, and controlled to ensure compliance, safety, accountability, and responsible operation.