Human-in-the-loop AI assigns people defined roles inside an AI workflow. A person may provide examples, review uncertain output, approve consequential actions, correct errors, evaluate quality, or handle exceptions that the automated system cannot resolve safely.
Human involvement is useful only when reviewers receive enough context, time, authority, and clear criteria to catch problems. A nominal approval step can become ineffective when automation produces too much output or encourages routine confirmation without inspection.
ELI5
Human-in-the-loop AI keeps a person involved at the points where judgment or accountability matters. The AI can prepare information or suggest an action, but a person can review, correct, approve, or reject it.
For example, an AI system might organize insurance documents and flag missing information, while a trained employee makes the final claim decision. The human step is useful only if the reviewer sees enough evidence and has real authority to say no.
