These are fundamentally institutional problems, not technology problems. If the IRS misspells your name and you can’t get anyone to correct it, is that Oracle’s fault? Or SQL’s? Or is it the fault of a bureaucracy that hasn’t built the right processes?
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There is no meaningful way to contain the toxic content spewed by media such as online news sites like Breitbart/Drudge, Fox News & talk radio despite decades of their existence. Things suck now and ML will make things suck in new ways but we shouldn't romanticize old media
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And so are all flawed institutions. None of this supports your basic assertion that the risk of misuse or misunderstanding of ML is different in principle from the ways all other techs & processes are subject to misuse or misunderstanding. ‘It’s not auditable’ is not good enough
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ML is going to allow us to detect things at scale and cheaply that we could not before. That, in the hands of the powerful, can be a terrible tool. I can write the awesome scenarios but.. until recently, you just couldn't detect say, gay or rebel or uyghur, *at scale* and cheap.+
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Also clicks. Increasingly, parts of the business thrive by endorsing the prevailing fashions, since people are less likely to click on something that challenges their biases. Which the, ahem, algorithms at news organizations then feast on, reinforcing the bias.
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