Well, it's not the computers faults that the people designing the system failed to (and probably are completely unable to) provide a proper measure of "value once hired". In the absence of a signal to tell you that you're stuck looking for proxies, and that it then ends up doing the same as many humans and assume that "past success at getting hired" is a good proxy for "value once hired" is not very surprising.
The machine learning is "cargo-culting" in many instances because humans are cargo-culting and thus are creating models that repeat the same motions rather than try to provide qualitatively better data.
But the interesting thing is that in doing so it does reveal a lot of things about human decision making that may help inform improvements.
The machine learning is "cargo-culting" in many instances because humans are cargo-culting and thus are creating models that repeat the same motions rather than try to provide qualitatively better data.
But the interesting thing is that in doing so it does reveal a lot of things about human decision making that may help inform improvements.