The reason is that machine learning algorithms are data driven, and are able to examine large amounts of data. On the other hand, a human expert is likely to be guided by imprecise impressions
Ho hum, 30-ish years ago AI seemed like a good idea (and it still does). Having arrived at Edinburgh Uni to start an electronics engineering degree, and having heard that they'd created a new AI+CS degree rather late and had no students IIRC, I found I was able to switch to it on the spot.
I still use elements of AI/ML all the time, indeed it's a central feature of my company's product and R&D. But I also say that as soon as it works reliably no one calls it AI any more, so I have lots of not-quite-AI-now tools in my usual toolbox!
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[ 0.22 ms ] story [ 12.0 ms ] threadI still use elements of AI/ML all the time, indeed it's a central feature of my company's product and R&D. But I also say that as soon as it works reliably no one calls it AI any more, so I have lots of not-quite-AI-now tools in my usual toolbox!