AI can be sexist and racist — it’s time to make it fair
Abstract
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. Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the...
Paper Details
Title
AI can be sexist and racist — it’s time to make it fair
Published Date
Jul 1, 2018
Journal
Volume
559
Issue
7714
Pages
324 - 326
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Notes
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