The Economics of Professional Decision-Making: Can Artificial Intelligence Reduce Decision Uncertainty?
构建了一个经济模型，分析医生和法官等专业人士在不确定性下的决策过程，指出人类价值观是优化决策的关键，并探讨了人工智能辅助决策的条件与局限。
This article outlines an economic model that provides a framework for organizing the growing literature on the performance of physicians and judges. The primary task of these professionals is to make decisions based on the information provided by their clients. The article discusses professional decisions in terms of what Kahneman (2011) calls fast and slow decisions, known as System 1 and System 2 in cognitive science. Slow decisions correspond to the economist's model of rational choice, while System 1 (fast) decisions are high-speed, intuitive choices guided by training and human capital. This distinction is used to provide a model of decision-making under uncertainty based on Bewley’s (2011) theory of Knightian uncertainty to show that human values are an essential input to optimal choice. This, in turn, provides conditions under which artificial intelligence (AI) tools can assist professional decision-making, while pointing to cases in which such tools need to explicitly incorporate human values in order to make better decisions.