Human-in-the-Loop (HITL) is an approach to artificial intelligence that keeps humans involved in the decision-making or review process. Rather than relying fully on automation, HITL ensures that people guide, correct, or approve AI-generated outputs. This method improves accuracy, accountability, and ethical use. Users can act as the human in the loop by reviewing suggestions before accepting them. In education, HITL supports critical thinking by encouraging students and instructors to evaluate AI assistance, rather than using it passively or without reflection.
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