Human-in-the-loop (HITL) is an approach in artificial intelligence and machine learning that integrates human judgment and decision-making into the system's processes to enhance accuracy and reliability. This iterative process allows for continuous learning and adaptation, making it particularly valuable in complex or high-stakes environments where human expertise is essential for validation and refinement of AI outputs.