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Are Tech Companies Building the Algorithms People Actually Want?

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chicagobooth.edu/review | Everyone wants predictive algorithms to be accurate, but there are different ways to define accuracy. Is it better to have an algorithm that's rarely perfect, but also rarely off by a mile? Or to have one that hits the mark pretty often, but can also miss big on occasion? Statisticians and laypeople think about these things differently, finds Chicago Booth’s Berkeley Dietvorst. And while many algorithms are built for everyday consumers, the way they define accuracy may make more sense to the people building them than to the people using them.

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