Human-in-the-Loop (HITL)

A design approach in AI where humans remain an integral part of the decision-making or learning process.

In HITL systems, AI agents perform tasks autonomously but rely on humans to provide oversight, intervene in uncertain situations, or refine the agent’s outputs.

This technique ensures better safety, accuracy, and alignment with human goals, especially in sensitive areas like healthcare, law, or autonomous driving.