In one practical description by Langer and colleagues, human oversight of AI involves people checking AI-assisted work during use or afterwards, identifying errors, and responding to or reporting problems. In the release example, being able to explain a problem is different from having permission to change the release. To be effective, an oversight arrangement needs a route from the checking to a response that can actually affect what happens. Naming a reviewer does not by itself show that the arrangement reduces errors.