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I do understand that there is a serious possibility of deploying a bad black box AI, a number of questions come to mind though. Isn't it true though, that huma
by Datenstrom 8y ago
I do understand that there is a serious possibility of deploying a bad black box AI, a number of questions come to mind though.
Isn't it true though, that human intelligence (and especially corporate/government/etc. intelligence) is also susceptible to biases which are invisible? Also, do we know why humans or groups of humans produce the output they do? Is there some kind of black box testing procedure we could use to increase trust in AI to a point at least equal to humans?
- SolaceQuantum 8y agoThe presumed argument here is that you can challenge individual people, corporations, etc. more easily on discriminatory behavior than you can challenge an algorithm. If an algorithm happens to refuse to issue loans to black people, who's the class action lawsuit going to sue?
- CamTin 8y agoPresumably you could sue the bank that is using the AI to make the loan decisions, or is there something I'm missing?
- AlexandrB 8y agoYou'd have to prove that the A.I. was discriminating based on a "protected class" and not on some other basis. But you have no insight into the A.I. or its training data. Nor do you have a comparable A.I. of your own to run A/B experiments that can prove discrimination. Now what?
- CamTin 8y agoDon't these problems already arise when trying to prove bias in a legacy meat-based intelligence?
- AlexandrB 8y agoThere's an additional danger. Many times society moves forward when the standard-bearers for what was "acceptable" or "correct" before retire or die out. A.I. doesn't die. An A.I. constructed with today's biases may, in some form, outlive its creators and carry these biases well into the future. "Science progresses one funeral at a time." -- Max Planck