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An interesting thought experiment is what if it turns out that the "golden feature" of f527 -- f528 is race or gender? Here is a talk about times when that hap

• tomnipotent 8y ago
  This. This so hard. Data captures existing biases, so models will likely lead to more of the same outcomes. We see this already with crime statistics in the U.S., not to mention college acceptance rates, home & auto interest rates, even job offers. We may have gone to the moon, but by and large scientists of today are just as susceptible to mistakes as prior generations that had "solid evidence" like how European ancestry correlated with higher IQ. As good as it feels to wrap ourselves in the warm fuzzy blankets of "being woke" and thinking we're somehow different, I'm going to keep remaining skeptical of the results until I know exactly how they were reached (and the black box of deep learning makes that a little tricky).
• Iv 8y ago
  Thanks that was a really interesting presentation. And to people who did not get to the end, I'd like to point out the last slide which is a nice tl;dr: "Early on I said I wouldn’t be giving any ethical prescriptions.I will, however, give one meta-ethical prescription: formalize your ethical principles as terms in your utility function or as constraints.It is nearly certain that tradeoffs between these principles exist, and if we don’t acknowledge this, we run the risk of unknowingly engaging in bad actions."