Machine learning classifiers are up to 20% less accurate when labeling photos from homes in poor countries

AOC was pointing out that ML facial recognition was supposedly more accurate on white men than for women or people of color and that this was bad. If true, for police/state surveillance it is bad, but is easily fixable with training the algos with more data. AOC thought that the difference had something to do with white men programming the algos, but that seems to defy how ML works. The real issue, that she pointed out, was that big digital companies shouldn’t be selling our data to the government and the government shouldn’t be spying on us.

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