providing a particular set of tasks – prediction tasks. Prediction about uncertain states of the world is an input into decision … could also increase the variance of outcomes as well. We consider the role of human judgment in decision-making as … decisions to machines even when the decision would be superior with human input …

. 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 …

Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are … patents per inventor has declined near-monotonically, except for large increases in inventor productivity in software and …

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 …