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A Guide to Solving Social Problems with Machine Learning

Harvard Business

We trained our algorithms to predict the overall crime rate for the defendents eligible for bail. In bail, it turns out that different forms of crime are correlated enough so that an algorithm trained on just one type of crime winds up out-predicting judges on almost every measure of criminality we could construct, including violent crime.

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