Human-in-the-Loop (HITL) blends AI speed with human judgment for tasks requiring nuance like legal review or medical diagnostics. It reduces model errors by up to 70% in early phases, catching biases and edge cases. As AI confidence grows, human oversight can taper, but HITL remains critical where stakes demand accountability and ethical safeguards.