Human judgement only helps AI systems when it is designed into the work, not bolted on at the end.
“Human-in-the-loop” sounds reassuring. It suggests that someone is watching, checking and ready to intervene. But in many AI systems, the human loop is treated as a final review step. The system produces an answer. A person approves it. The work moves on.
That may be enough for simple or standalone tasks. But it is not enough for complex workflows. Good human oversight needs to happen at the right moment, not just at the end. It also needs to be the right person – someone with enough expertise to be able to shape the input, check the source, assess the confidence level, approve an action or review an exception.
If a system is uncertain, it should clearly show that uncertainty. If it has used a source, it should make the source visible. If the user needs to make a decision, the interface should help them understand what is being recommended and why. The person in the loop should not be left to guess.
When designing new systems, we don’t build human-in-the-loop as a way of catching mistakes. We make it so that the system alerts the right person and informs them of what decision is required and why throughout the entire process – not just the end.
