It may very well be true, and in fact reasonable that there's a lot of false positives and that 'it was designed that way' due to obviously an inherently higher

It may very well be true, and in fact reasonable that there's a lot of false positives and that 'it was designed that way' due to obviously an inherently higher error rate. So it's really a that the parameters of the tech are overlapping poorly with the parameters of customer convenience, perception, treatment, and other aspects of the next consumer experience and op. costs. This is probably a great example of understanding the limitations and special needs of AI in the real world. It's not magic, it's just 'some magic' that we have to develop processes to work with.