"Sped up this lengthy process, still needs to be checked by a human" is the actual use case for generative AI. But that's not what the hype would have you believe.
One of the most fascinating things about generative AI is the businesses and states that are using it are largely doing “we’ve sped up this lengthy process”, whereas the tech companies’ largely seem to be going “we made this thing you like worse”.
I was part of a meeting recently where a group that did evidence synthesis of clinical trials was talking about how they used generative AI. And I could feel the tension leave me when they got to "and then we get a clinician to check the results"
Something that frustrates me immensely is the lack of understanding that for a *lot* of knowledge work the human will still have to do most of the analysis to accurately check the output (i.e. it doesn’t actually save all that much time)