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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 ...

Algorithms that assess people’s likelihood to reoffend as part of the bail-setting process in criminal cases are, to be frank, really scary. We don’t know very much about how they work—the companies ...

Poland’s Helsinki Foundation for Human Rights has challenged the Justice Ministry’s refusal to disclose data on the PSORR ...

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 ...

A new philosophical framework distinguishes remediable algorithmic bias from discrimination built into a system's ...

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 ...

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 ...

When the Sentencing Reform and Corrections Act of 2015 was introduced in the United States Congress last year, Republican and Democratic senators backed the ambitious bill. Experts complimented its ...