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From Jon Kleinberg also, I highly watching his recommend his presentation [1] on the inherent trade-offs when trying to achieve algorithmic fairness. It's a li
by Cynddl 8y ago
From Jon Kleinberg also, I highly watching his recommend his presentation [1] on the inherent trade-offs when trying to achieve algorithmic fairness.
It's a little more technical than this paper, and presents very well why removing discrimination in algorithmic decision making is a complex task.
[1] https://www.youtube.com/watch?v=4X3Z7FPwkA8 https://www.youtube.com/watch?v=4X3Z7FPwkA8
- nostromo 8y agoNote that this paper is arguing for race-aware algorithms, not removing discrimination. If I'm understanding the authors correctly, they're saying that blind algorithms don't have equal outcomes by race -- so they're reintroducing race to the algorithms so they can adjust for disparate outcomes. Basically they're arguing for affirmative action algorithms.
- currymj 8y agoit is way more complicated than this. i know i underestimated how complicated these issues can be at first. there are many different failure modes. the race-blind models aren't necessarily really race-neutral; they could implicitly have something like "affirmative action" in either direction, and reintroducing an explicit race variable could be the only way to get rid of it. or the opposite might be true! it takes real care to get this stuff right whether notion of equality you aim for.