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Machine learning could help judges predict escape attempts, recidivism

Researchers from Cornell, Stanford, Harvard, Harvard and the University of Chicago developed an algorithm that can detect whether a suspect is a flight risk. The algorithm has proven accurate and has so far aced prediction tests in New York. The software will help judges predict defendants behavior (try to escape or commit more crimes) It will reduce the costs of jailing a suspect during trial if not considered a risk and it could cut crime and reduce racial disparities amongst prisoners The project is still young and might need more thorough research to make sure the outcome is fair.”]

Source: https://www.bitdefender.com/blog/hotforsecurity/machine-learning-could-help-judges-predict-escape-attempts-recidivism/

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