There’s going to be a lot made of the poor technical work in this machine learning system but that misses the point: arstechnica.co.uk/security/2016/
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Machine learning’s proponents act like its results are objective and its critics treat it as alien or AI. Both ideas are sheerest bullshit.
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Machine learning is automated bureaucracy. It spits back the systemic biases we feed it in feature vectors, training sets, reward functions.
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We’re having a bullshit conversation about the future threat of “super intelligent AI” while our automated bureaucracy kills children.
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If you critique Skynet based on insufficient data or poor machine learning practice you’re implicitly endorsing algorithmic bureaucracy.
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what other kind of bureaucracy IS there? We've just moved from paper+human computers bound by processes to software
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bureaucracy, like computation, should strive for human augmentation. Increase collective agency not obfuscation & plausible deniability
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the ML process changes who in the bureaucracy is involved in decisions. Pushes it down into tech implementation, makes it invisible
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