156 | Visualizing Fairness in Machine Learning with Yongsu Ahn and Alex Cabrera
Data Stories
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Can We Develop Better Methods of Understanding How Algorithms Can Be Problematic?
Research from the sixties and seventies showed that simple algorithms were always better than humans. The question is, can we actually develop better methods of understanding how they can be problematic? And then there's he bigger question, are there some questions where we don't actually ever want algrythems to decide, but maybe we can help people actually make those decisions in a better way?
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