A human-in-the-loop system combines machine learning with human oversight to refine AI decisions. It is used in critical applications like content moderation, medical diagnosis, and autonomous driving where accuracy and ethical judgment matter. Businesses, developers, and end-users benefit by reducing errors, ensuring fairness, and maintaining accountability in automated processes.
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