Here’s a choose-your-own-adventure game nobody wants to play: you’re a United States judge tasked with deciding bail for a black man, a first-time offender, accused of a non-violent crime. An algorithm just told you there’s a 100 percent chance he’ll re-offend. With no further context, what do you do? Judges in the US employ algorithms to predict the likelihood an offender will commit further crimes, their flight risk, and a handful of other factors. These data points are then used to guide humans in sentencing, bail, or whether to grant (or deny) parole. Unfortunately the algorithms are biased 100 percent…

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