The battle for ethical AI at the world’s biggest machine-learning conference

Elizabeth Gibney

Nature, 2020, vol. 577, issue 7792, 609-609

Abstract: Bias and the prospect of societal harm increasingly plague artificial-intelligence research — but it’s not clear who should be on the lookout for these problems.

Keywords: Ethics; Mathematics and computing (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1038/d41586-020-00160-y

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