The biased data is used to train the algorithms running the artificial intelligence that is getting more and more incorporated in society. As machine learning gets better the sexist data become even more sexist, and the coders behind the algorithms aren’t aware of the problem.
According to Criado Perez, the gender data gap does not primarily come from sexism, but rather a lack of diversity in decision makers. Female problems aren’t recognized to the same extent by the men that aren’t affected by them.
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