Gender bias in algorithms
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Reason To Watch
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
Visit Joy Buolamwini website to find out more.
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