Human-in-the-loop means keeping a person involved in an AI process to review, approve or correct the system's output before it takes effect. It is used where mistakes carry real consequences, such as approving payments or medical decisions. This approach balances automation's speed with human judgement, reducing risk and often being required for compliance in higher-stakes AI applications.
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