A governance and design approach where human experts—such as clinicians or healthcare leaders—are actively involved at critical stages of an AI system’s lifecycle (training, validation, and decision-making). In healthcare, HITL ensures that AI recommendations are reviewed, interpreted, and approved by qualified professionals before influencing patient care or the organization. When done correctly, this approach balances automation with human judgment, ideally reducing risks from errors, bias, or lack of context.