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What is bias in machine learning, when does it matter, and what can we do about it?

The Trouble with Bias - NIPS 2017 Keynote - Kate Crawford #NIPS2017

“The Trouble with Bias,” Kate Crawford’s (previously) keynote at the 2017 Neural Information Processing Systems is a brilliant tour through different ways of thinking about what bias is, and when we should worry about it, specifically in the context of machine learning systems and algorithmic decision making — the best part is at the end, where she describes what we should do about this stuff, and where to get started. (via 4 Short Links)

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