Judges can use algorithms to help them make their decisions
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A US court experiment suggests that a popular risk-assessment algorithm makes tougher recommendations than human judges, perhaps because it is worse than people at predicting which defendants will violate pretrial agreements.
“Some jurisdictions wanted to work with us to evaluate whether these recommendations help judges make better decisions,” he says. Kosuke Imai at Harvard University.
In the US criminal justice system, judges decide whether defendants will stay at home or await trial…
