Definition

Human-in-the-Loop AI

An AI system design pattern in which humans remain involved in the workflow to review, correct, or approve AI outputs before they drive consequential actions - rather than operating fully autonomously. Human-in-the-loop is distinct from fully automated AI (where no human reviews outputs) and from purely human-operated workflows (where AI provides no assistance). Mehul Shah's key refinement: the goal is to keep humans in the loop for decisions while removing them from the critical path of execution. The human should not be the bottleneck who processes every document - that is the work AI automates. The human should be the final authority who reviews flagged items and makes the consequential calls.

From the episode “Your Company Is Sitting on a Data Gold Mine”

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