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 ...

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 ...

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 ...

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 ...

"'[I]nformation, guidance, ideas, and recommendations' are not 'product[s]' under the Third Restatement, both as a definitional matter and because extending strict liability to the distribution of ...