Human-in-the-Loop (HITL) systems can reduce AI model error rates by up to 70%, particularly in high-stakes sectors like healthcare and finance. This is achieved by integrating human oversight at critical points in the automation workflow enabling correction of model outputs, preventing bias, and ensuring accountability. HITL builds trust by balancing machine efficiency with human judgment.