Human-in-the-loop artificial intelligence assigns defined decisions or review points to a person rather than allowing the system to operate entirely on its own. The human may provide context, approve consequential actions, correct errors, or decide how to handle ambiguity and exceptions.
Effective oversight is selective and evidence-rich. If a person must approve every routine click, the workflow can become slower than manual work and reviewers may stop paying attention. Automation should handle reversible low-risk execution while presenting meaningful decisions, context, and consequences clearly.
