Yep, this is what's happening. Big transition. "The technology is reshaping how some companies approach recruiting, hiring and reviewing workers, offering employers an unrivaled look at job candidates through a new wave of invasive psychological assessment and surveillance."
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Of course, human hiring is far from perfect. But this is like willy-nilly introducing a cat to an ecosystem without one to control some other pest. Problems if it works, Problems if it doesn't—and inability to tell which is which (since much of this is ML) is a core issue.
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We had this disagreement over Twitter before That ML models aren't interpretable (except obvious things which wouldn't need ML model if that's all there was) doesn't seem to be controversial among practitioners or CS professors.
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I look at the interpretability work, and it seems promising in things like visual systems where humans, too, can literally eyeball what's going on in the layers, but not for much else. If I see work that succesfully interprets and rules out, I'll change my mind. Please do send.
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This is a very interesting line of argument. Not at all the angle I was expecting. I'll need to think about this for a bit.