Robots Could Make the Supreme Court More Transparent

Predicting the outcome of Supreme Court decisions has long been a favorite parlor game for political scientists, attorneys, and legal-system junkies. People have built statistical models, predictive algorithms, and flow charts, and have used machine learning to try to guess what the justices will decide. Some of these models are reliable. Several of them make accurate predictions around 75 percent of the time. Human prognosticators can be even more impressive than that. One man, deemed by the website FiveThirtyEight to be “the best Supreme Court predictor in the world,” won FantasySCOTUS—yep, like fantasy football but for the high court—several years in a row and boasts an 80 percent accuracy rate for guessing what the justices will do. But there’s another realm of Supreme Court activity where computers can tease out…


Link to Full Article: Robots Could Make the Supreme Court More Transparent