Machine learning is going to mean a very different thing at lower ranks of the employment hierarchy.
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Plus, ML will allow us to classify and optimize at scale, and be better at it than humans potentially, but opaquely... Humans hire from alumni network, have gender/race biases in hiring and are credentialist. What is ML going to weed out? Don't even know where to begin to look.+
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Notice that my argument isn't 1-humans are great; 2-AI is biased (that's a problem but that's almost the easier problem because that's mainly a political problem). I'm saying ML, the current form of AI, will work, work well, at scale and cheaply and in ways we don't understand.
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It's interesting to note what computerization meant in purposely bad institutions. China used it effectively to create a hyper-surveillance state. Tech is a multiplier. The question I have is what ML will mean in the hands of intentionally nefarious institutions.
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Hitler, Stalin and Mao were terribly effective at detecting people they didn't like "at scale". They did it with bureaucracy, not software.
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