Gender bias in algorithms

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MIT grad student Joy Buolamwini tackles how bias of people who code leads to bias in the systems they create. Joy was working with facial analysis software when she noticed a problem: the software didn't detect her face — because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an eye-opening talk about the need for accountability in coding ... as algorithms take over more and more aspects of our lives. – TED.com

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