I did a bunch of research essays into medical uses of AI/ML and I'm not terrified, in fact the single most significant use of these technologies is probably in or around healthcare. One of the most cited uses would be expert analysis of medical imaging, especially breast cancer imaging. There is a lot of context to unpack around breast cancer imaging, or more sucinctly put, controversial drama! The fact is there is a statisticalluy high rate of false positives in breast cancer diagnostics made by human doctors. This reality resulted in a big overall policy shift to have women breast scanned less often, depending on their age, or something like that. Because so many women were victimized with breast surgery that turned out to be false positive or whatever. The old saying to make an omlet one must break a few eges is sometimes used, and that's a terrible euphamism. AI has proven to be better at looking at medical image, and in the case of breast cancer seems to out perform humans. And of course the humans have a monotonous job revewing image after image, and they want to be safe instead of latter being sorry, so of course they have high false possitives. The machines never get tired, they never get biased (this is a bone of contention), and they never stop. Ultimatly a human doctor still has to review the images, and the machines simply inform if the doctor is being too agressive in diagnosis, or possibly missing something. The whole thing gets escellated if there is any disparity. The out come from early studdies is encouraging, but these studies take years, and are very expensive. One of the biggest problems is the technology proficiency of medical staff is low, and so we are now in a situation where software engineers are cross traning to be at the level of a nurse or even doctors in rare cases.