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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 ...
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 ...
Cathy O'Neil, a self-proclaimed math nerd and author of "Weapons of Math Destruction" explains how police data leads to bias in the criminal justice system. Following is a transcript of the video.
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 ...
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 ...
In 2013, a man named Eric L. Loomis was sentenced for eluding police and driving a car without the owner’s consent. When the judge weighed Loomis’ sentence, he considered an array of evidence, ...
"'[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 ...
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 ...
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 ...
It turns out Philadelphia’s potentially racist recidivism algorithm will “lose some accuracy” if it isn’t designed to be, well, a racist recidivism algorithm. “If we strive for fairness, unfortunately ...