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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 ...

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 ...

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 ...