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

I’m guessing that the ML classifier wasn’t trained on a lot of photos from poorer countries for obvious reasons. It’s a good example of how bias in ML can be completely unintentional.

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