What is Human in the Loop (HITL)? Human-assisted AI

Human-in-the-loop (HITL) AI structures workflows so automated systems handle predictable, routine tasks while people review, approve, or take over decisions involving risk, ambiguity, regulation, specialized expertise, or customer sensitivity. It can also refer to human participation in machine-learning development through data labeling, output evaluation, corrections, and feedback. By combining automation with human judgment, HITL aims to improve accuracy, compliance, efficiency, and accountability in sectors such as banking, insurance, healthcare, fintech, and creative production. Effective systems rely on clearly defined handoff triggers, complete transfer of context between AI and employees, proportionate approval requirements, and regularly updated rules based on operational experience. The text distinguishes HITL, where human participation is required at designated checkpoints, from human-on-the-loop oversight, where AI operates independently while people monitor and intervene when necessary.

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