As artificial intelligence moves into the courtroom, much has been written about sentencing algorithms with hidden biases. Daniel L. Chen, a researcher at both the Toulouse School of Economics and University of Toulouse Faculty of Law, has a different idea: using AI to help correct the biased decisions of human judges.
Chen, who holds both a law degree and a doctorate in economics, has spent years collecting data on judges and US courts. “One thing that’s been particularly nagging my mind is how to understand all of the behavioral biases that we’ve found,” he says. For example, human biases that can tip the scales when making a decision. In a new working paper, Chen lays out a suggestion for how large datasets combined with artificial...