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You're talking about a different problem than the original thread. The original thread isn't saying "the underlying world is biased"; Obama's face exists in the
by karpierz 6y ago
You're talking about a different problem than the original thread. The original thread isn't saying "the underlying world is biased"; Obama's face exists in the world.
It's saying that the dataset isn't reflective of the world, and this is an issue because then you'll end up with voice tools[1], facial recognition software[2], and sentencing algorithms[3] end up performing disproportionately poorly on some minority groups. And this ends up reinforcing the poor positions many people are already in.
1) https://www.pnas.org/content/117/14/7684 https://www.pnas.org/content/117/14/7684
2) http://proceedings.mlr.press/v81/buolamwini18a.html?mod=article_inline http://proceedings.mlr.press/v81/buolamwini18a.html?mod=arti...
3) https://www.liebertpub.com/doi/full/10.1089/big.2016.0047 https://www.liebertpub.com/doi/full/10.1089/big.2016.0047
- slg 6y agoThe way I understood his original tweet was that he was taking the specific problem with this study to illustrate a point about ML overall. Therefore the criticism he receives can be related to how that idea applies to ML overall and not exclusively this problem.
- im3w1l 6y agoHow else are you going to solve it, if not one issue at a time? Or do people just want to rant without being interrupted by solutions?