Here's an article with more information on the potential for bias in algorithms: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-se

Here's an article with more information on the potential for bias in algorithms: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing https://www.propublica.org/article/machine-bias-risk-assessm... Based on a list of 137 questions[1] the Northpointe system predicts the risk of re-offending, and "blacks are almost twice as likely as whites to be labeled a higher risk but not actually re-offend." Meanwhile, whites are "much more likely than blacks to be labeled lower risk but go on to commit other crimes." In other words: - a white person labeled high risk will re-offend 66.5% of the time - a black person labeled high risk will re-offend 55.1% of the time - a white person labeled low risk will re-offend 47.7% of the time - a black person labeled high risk will re-offend 28% of the time. The model is specifically avoiding race as an input, but still overestimates the danger of black recidivism, while underestimating white recidivism. [1]https://www.documentcloud.org/documents/2702103-Sample-Risk-Assessment-COMPAS-CORE.html https://www.documentcloud.org/documents/2702103-Sample-Risk-...