A fairer, more accurate way to use algorithms in criminal justice
Can we make AI tools in criminal justice both fair and accurate? A new paper by Shaolong Wu, James Blume, and Geshi Yeung says yes—with a practical tweak. Instead of forcing exact equality between groups (which can hurt accuracy or be impossible), they optimize overall errors while keeping differences