setting, humans cannot verify the algorithm's quality. We, therefore, argue that algorithms exhibit traits of a credence good … intervention, we explain the way the algorithm functions. We find that while explanation helps participants recognize bias in the … algorithm, it remarkably decreases human decision-making performance. In the second treatment, we reveal the task's correct …

new quasi-experimental tools to measure the impact of human discretion over an algorithm on the accuracy of decisions … judges in our setting underperform the algorithm when they make a discretionary override, with most making override decisions … that are no better than random. Yet the remaining 10% of judges outperform the algorithm in terms of both accuracy and …