The user wants to understand Human-in-the-Loop in the context of AI Safety & Risk and apply it to practical AI governance or compliance work.
HITL, or human-in-the-loop, is an approach in which people remain involved in shaping, reviewing, approving, or improving AI system outputs or decisions. It is used to combine machine efficiency with human judgment, especially in higher-risk or context-sensitive tasks.
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