Suppose a machine learning project intended to predict startup success explicitly factors in the gender of the startup's founders as a feature. Is there any non-problematic reason why they would do this? It would just mean that it would reinforce gender biases, right?
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Without knowing specifics, it seems rather worrying if it's not explicitly used as a way to counter existing biases. I know is pretty interested in these kinds of questions, but unsure if she has time to respond directly.