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 ...

Algorithms for predicting recidivism are commonly used to assess a criminal defendant’s likelihood of committing a crime. Proponents of these systems argue that big data and advanced machine learning ...

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 AMERICA, computers have been used to assist bail and sentencing decisions for many years. Their proponents argue that the rigorous logic of an algorithm, trained with a vast amount of data, can ...

The news website took issue with a predictive algorithm, which is used in sentencing criminal defendants, charging that it produced racially-biased results. A recent study suggests that particular ...

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 ...

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 ...

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 ...

Much of the controversy over algorithmic decision making is concerned with fairness. Generally speaking, most of us regard decisions as fair when they're free from favoritism, self-interest, bias, or ...