Point taken with regards to the name. Unsure about other aspects though. I’m sure there’s some analysis that’s been done about this already that I just don’t know about.
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Shouldn’t testing the algorithm for bias be extremely easy? Submit the otherwise exact same data with different genders; check whether outcome is the same
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Kollege @kesselborn über modernes Secrets-Management: innoq.com/de/articles/2019/1…
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You don’t, and you don’t have to. The lender should be able to explain why the (reasonable) suspicion is unjustified
1) you don’t know DHH’s motivation and I see no reasons for your assumptions 2) it doesn’t have to be intentional to be discriminatory, that’s a key part of the issue 3) Apple’s name is on the card, and it’s specifically supposed to be a new kind of card because of that
@FlixBus Ich habe versucht, eine Zugreise zu buchen, aber sowohl Amex, Mastercard und Paypal werden mit einer Fehlermeldung (»AD04«) am Ende des Zahlungsprozesses abgelehnt. Sehr frustrierend. Klarna und Sepa-Einzug sind für mich keine Option. Was tun?
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Einer von denen, deretwegen ich früher FDP gewählt habe (und sogar mal in dem Verein war). Leider Vergangenheit.
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Of course it was completely normal. It was also completely wrong, which is why it was addressed and changed :)
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ML (which was probably not in play here, but certainly could and will be) makes this is even harder, but surely that shouldn’t be the consumers’ problem
Not entirely sure whether we agree or disagree here; my guess is it’s the former. Gender should not be allowed to play a role because that would be discriminatory, and companies need to be able to explain and justify their algorithms’ decisions.
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The power of having 350k Twitter followers
The Wall Street regulator @NYDFS has opened an official probe into @GoldmanSachs over their black-box credit assessments for the @AppleCard following this profanity-laced thread 😬 bloomberg.com/news/articles/…
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