Human-in-the-Loop
A design pattern where AI systems require human review, approval, or intervention at critical decision points.
Full Definition
Human-in-the-Loop (HITL) is a system design approach where human operators are incorporated into the AI decision-making process at critical junctures. Rather than fully autonomous operation, HITL systems route certain decisions — typically those above a risk threshold, involving regulated domains, or flagged by anomaly detection — to human reviewers for approval, modification, or rejection. HITL is a key requirement of the EU AI Act for high-risk AI systems, which mandates that humans must be able to understand, interpret, and override AI decisions. Effective HITL implementation balances the speed and scale of AI with the judgment and accountability of human oversight, gradually reducing the scope of human review as the system demonstrates reliability.
Related Terms
Guard Mode
An operational mode where high-risk AI agent actions are paused and routed to human reviewers for approval before execution.
EU AI Act
The European Union's comprehensive legal framework for regulating AI systems based on risk classification.
Autonomous AI
AI systems that can independently perceive, decide, and act without continuous human oversight or approval.