In new study by Prof. Jen Skeem, algorithms outperform humans in predicting recidivism

Are algorithms better than humans at predicting whether someone will commit new crimes? A new study by Professor Jen Skeem and Stanford researchers  advances our understanding of how algorithms and people assess recidivism risk under real-world conditions.