What is human-in-the-loop AI?
A design in which people review, approve or correct AI outputs at defined points, typically for uncertain or high-impact cases, with each decision logged.
Human-in-the-loop means people review, correct or approve the system's outputs at defined points, typically for low-confidence cases and for any irreversible action. It is how most production AI starts: the system drafts and a person approves, then the share of cases reviewed falls as evals show the error rate is acceptable. Reviewer corrections also become new eval cases, so the loop improves the system over time.