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The Louisiana state government in the United States uses the TIGER criminal recidivism prevention algorithm to score the recidivism risk of inmates in prison. TIGER was originally designed as a tool ...

In a study with potentially far-reaching implications for criminal justice in the United States, a team of California researchers has found that algorithms are significantly more accurate than humans ...

Recidivism is the likelihood of a person convicted of a crime to offend again. Currently, this rate is determined by predictive algorithms. The outcome can affect everything from sentencing decisions ...

In courtrooms around the United States, computer programs give testimony that helps decide who gets locked up and who walks free. These algorithms are criminal recidivism predictors, which use ...

Algorithms are just as biased as the people who make them. An investigation by ProPublica found that Northpointe, creators of an algorithm that attempts to predict an incarcerated person’s likelihood ...

In the US, a minority of individuals commit the majority of crimes. In fact, about two-thirds of released prisoners are arrested again within three years of getting out of jail. This begs the question ...