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AI can be sexist and racist — it’s time to make it fair

Date
July 17, 2018
Topics
Arts, Humanities
Machine Learning
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Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger in Nature.

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James Zou and Londa Schiebinger

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