“Human in the loop” is one of the easiest controls to promise and one of the easiest to implement badly.
Give the reviewer a real decision
Define whether the reviewer approves, rejects, edits, escalates, or suspends. If every practical incentive pushes the person to accept the recommendation, the control is nominal.
Expose useful evidence and uncertainty
Show the inputs that matter, known limitations, conflicting signals, and the reason the case requires attention. Do not turn a probability into a confident badge that invites automation bias.
Protect time and competence
A reviewer needs enough time and domain knowledge to make the call. Queue pressure, poor interfaces, and vague responsibility can defeat even a technically accurate model.
Create an escalation path
Some cases exceed the reviewer’s authority. Define where they go, how quickly, what evidence follows, and who can pause the broader workflow when a pattern appears.
Measure the control
Track overrides, reversals, disagreement patterns, review time, and outcomes. If humans never disagree, determine whether the model is excellent or the review is ceremonial.