Judges can use algorithms to assist make their selections
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A US courtroom experiment suggests a preferred danger evaluation algorithm makes harsher suggestions than human judges – presumably as a result of it’s worse than individuals at anticipating which defendants will violate pretrial agreements.
“Some jurisdictions wanted to work with us to evaluate whether these recommendations are actually helping judges make a better decision,” says Kosuke Imai at Harvard College.
Within the US prison justice system, judges decide whether or not defendants will await trial at dwelling or in…
