. 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 …

heritage. Evaluators made decisions on guilt/innocence in these burglary and assault cases, as well as prison sentence length … towards defendants of their own race during the guilt-innocence decision. In the sentencing phase, we find in-group bias in … identifies such opposing effects of bias within the same decision sequence. Regarding overall racial bias, we document that …

Algorithms are increasingly available to help consumers make purchasing decisions. How does algorithmic advice affect … human decisions and what types of consumers are likely to use such advice? We conducted a randomized, controlled trial …

. New artificial intelligence (AI) technologies are increasingly being used to augment expert decisions. We study the role …-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 …

In this paper, we assess the degree to which four of the most commonly used models of risky decision making can explain … explain the decision-making behavior of the majority of our subjects. Surprisingly, we find that the choice behavior of the … of risky decision making …