Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood of becoming a recidivist – a term used to describe criminals who ...

It turns out that a trusted crime-fighting algorithm used to predict if criminals will re-offend might not be any better at its job than a random untrained human. The technology has already been ...

In courtrooms across the United States, it has become commonplace for judges to be provided with “risk assessment” reports—algorithmically-generated scores assigned to criminals meant to gauge the ...

A popular program called COMPAS claims it can predict if criminal defendants will commit more crimes, and has been used by judges across the US. However, a new study has found the algorithm to be no ...

A new study challenges thinking that algorithms outperform humans when making important criminal justice decisions. A widely-used computer software tool may be no more accurate or fair at predicting ...

A new study suggests that a commercial software widely used to predict which criminals will commit crimes again is no more accurate than untrained people, at foreseeing recidivism. Previous research ...

Eddie Armstrong had been sitting in the Dane County Jail for nearly two weeks when a judge set him free to await trial. His release was based in part on computer-generated scores that rated ...

Some people champion artificial intelligence as a solution to the kinds of biases that humans fall prey to. Even simple statistical tools can outperform people at tasks in business, medicine, academia ...