| Phrasing it in the way you do is misleading. The defendants labeled as high risk and low risk were just as likely to re-offend. To put this in simpler numbers * Out of 100 white people, 5 were labeled high risk. * Out of 100 black people, 20 were labeled high risk. * Out of the 5 white people labeled high risk, 4 re-offended. * Out of 20 black people labeled high risk, 16 re-offended. In either case, someone labeled high risk had the same likelihood to re-offend: 80%. "It incorrectly predicted that black defendants would re-offend more frequently than white defendants." This is technically correct, but not because the algorithm was bad a predicting rates if re-offending. It's because there was higher rates of re-offending. The likelihood of re-offending among someone labeled high risk is the same. This kind of objection seems like a blanket rejection of any system that produces an inequitable outcome. But the reality is that rates of re-offending is not equal. Even a perfectly accurate prediction of re-offense is going to predict higher rates of re-offending among men. Because men re-offend at higher rates. This isn't sexism. That doesn't mean we shouldn't recognize the disparate impact of incarceration on underprivileged people. But simply concluding bias due to inequitable outcomes is simplistic. |
Thankfully, the article I linked to looked at both: