A study conducted by researchers at Stanford University and the University of California at Berkeley discovered that risk assessment tools are considerably better than humans at clarifying the complexity of the criminal justice system and providing more accurate decisions. Consider this: when just a few variables are involved, humans are perfectly capable of predicting for themselves which defendants will later be arrested for another crime. But when a larger number of aspects are at play, the algorithms normally surpass humans. In some tests, they were almost 90% accurate in predicting which defendants run the chances of being arrested again. Humans, by contrast, demonstrated an accuracy of only about 60%.
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