. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models … of decision-making under uncertainty to account for the process of determining payoffs. We label this process of … on whether the improvements in prediction enable automated decision-making. We discuss the implications of improved …

-optimal. Our analysis leverages the large-scale implementation of an AI-based decision support tool in a private Medicare exchange … consumers $1260 on average. The addition of AI-based decision support improves outcomes by $278 on average and substantially … decision support associated with a 21% reduction in call time for enrollment …

errors in decision making are inevitable. Moreover, under the appropriate conditions, these decisions are random conditional … situations than would be possible with randomized control trials. This point is illustrated with data from medical decision …

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on … a decision that has important policy consequences. Millions of times each year, judges must decide where defendants will … await trial—at home or in jail. By law, this decision hinges on the judge's prediction of what the defendant would do if …