This is missing a key crucial insight: the overall number of evaluated cases increases when AI is helping meaning that borderline cases which may have been igno

This is missing a key crucial insight: the overall number of evaluated cases increases when AI is helping meaning that borderline cases which may have been ignored prior are now being evaluated. Said another way, with AI handling the obvious cases, the number of borderline cases being evaluated by humans increases. With humans having large amounts of inaccuracy, borderline cases before which may have been ignored due to not having manpower to evaluate are now being evaluated. This can and does lead to many more erroneous accusations despite the fact that all the borderline evaluations are being handled by humans. Another factor here is that simply evaluating more data is also likely to lead to more erroneous evaluations since random chance has a much larger impact.