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> So for the author, anything that affects one ethnic group differently is racist, whether or not it is born by the data. I would encourage to check out some o
by denzil_correa 11y ago
> So for the author, anything that affects one ethnic group differently is racist, whether or not it is born by the data.
I would encourage to check out some of the papers at the FAT-ML workshop which was co-located with ICML. I don't think researchers are making that assumption.
In addition, race was used as an example because it is one of the sensitive attributes. The decision on what makes an attribute sensitive is based on deep discussions by society. The author of the blog post wants to communicate two points - (1) Algorithms can discriminate and (2) There is a need to understand HOW algorithms discriminate.
- moron4hire 11y agoThese are givens. You don't create any sort of decision algorithm unless you are trying to ask the computer to discriminate. The question is, do you understand what the political perception of the eventual outcome will be? As an overly simplistic example: someone might point out that your algorithm's negative impact applies 75% of the time to racial minorities. There will be a political shit storm if that is the end of the story. But if you can show that the segmentation is actually 99.8% people in prison, you basically prove your algorithm is politically acceptable and pass the buck of outrage on somewhere else.