You keep making this assertion. I keep pointing out why it’s flawed. This would be a more productive conversation if you could respond to that.
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When we take formal rules and put them in a database (say the CA immigration system: it adds points. Doesn't matter by hand or computation) or even when we automate a fairly well-understood system (flying) we have ways of debugging/troubleshooting that we don't have for ML. +
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Replying to @zeynep @benedictevans and
So the Q is: do you think we will have explainable/interpretable AI? I'm on the this doesn't seem anymore likely than using brain scans to understand humans. ML is classification that works not via rules we wrote (not Symbolic/Minsky style code). That really is different! +
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One can also write a supra program that looks at results and tags, and reports anomalies, or things society deems are biases. Frequently, the problem with ML may be the mirror it holds up to us.
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Only for obvious variables like race/gender which we know to look for. That's why there is so much reporting on that. Familiar ground. But ML will detect and discriminate things we could not previously detect, will not even think to check for. No variable list to run against.
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I am not going to convince you over Twitter that ML is not adding more variables, in the classic sense.
It's just not the same as say, adding more variables like heart rate, blood pressure, this and that measurement and running a regression or applying a formula.2 replies 0 retweets 4 likes -
Perhaps. But simply asserting something and then ignoring any possible objection does not make for a strong position.
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So that I'm clear: is the assertion you are objecting to this:"ML is different than trad programs or databases and that it creates (for computation) unique challenges to transparency and auditing?" It's good for me to understand because, honestly, I'd have ranked that as mundane.
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(Also note that I'd group ML with human decision-making when it comes to transparency/auditing challenges, and I'd group bureaucracy, formalized decision making and symbolic/traditional programming together.)
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