Honestly, the question is not, and has never been, "can machine learning replace radiologists/etc" (which won't happen in the foreseeable future). The question is, how can radiology/etc utilize ML to improve outcomes, decrease the cost of care, and broaden accessibility.
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But you guys promised AGI. True or false?
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There seems to be evidence to the contrary especially in the legal profession. However, your example of the medical profession is a good one.
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We have seen many examples where humans are actively being replaced. You don’t need to be a genius to make a profit on someone else’s open-sourced work, and the way ML is being marketed just makes it even easier. Just include AI in the title, and the product sells itself.
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The right intentions with ML is there, but unfortunately, the vision of it being assistive rather than replacing jobs is misaligned with companies that just wants to make a profit.
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Literally every ML evangelist: It's super human. Radiologists: retire! Journos: What an amazing progress! [ You are a sane voice in this noisy hype. ]
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Of course it should be used to warn an overworked radiologist to give them support but modesty and realism is rare occasion. Science needs to be sold with exaggerated claims and with that politics and science become one. "It's going to be great, so great, great!"
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Everyone should read Licklider. https://groups.csail.mit.edu/medg/people/psz/Licklider.html …pic.twitter.com/tEBXfiQv3W
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“In short, it seems worthwhile to avoid argument with (other) enthusiasts for artificial intelligence by conceding dominance in the distant future of cerebration to machines alone. 1/2
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If you do your job at an increased scale, they no longer need 5 technicians, just 1. Just like offices had rooms of accountants now we have like 3 with software.
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As the scale increase exponentially, the number of human hands needed decrease in the same pattern, so someone somewhere will get replaced
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