How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program
We study how humans learn from AI, leveraging an introduction of an AI-powered Go program (APG) that unexpectedly outperformed the best professional player. We compare the move quality of professional players to APG's superior solutions around its public release. Our analysis of 749,190 moves demonstrates significant improvements in players' move quality, especially in the early stages of the game where uncertainty is highest. This improvement was accompanied by a higher alignment with AI's suggestions and a decreased number and magnitude of errors. Young players show greater improvement, suggesting potential inequality in learning from AI. Further, while players of all skill levels benefit, less skilled players gain higher marginal benefits. These findings have implications for managers seeking to adopt and utilize AI in their organizations.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingSimilar Papers 제목 키워드 기반
A Model of Pathways to Artificial Superintelligence Catastrophe for Risk and Decision Analysis
An artificial superintelligence (ASI) is artificial intelligence that is significantly more intelligent than humans in all respects. While ASI does not currently exist, some scholars propose that it could be created some…
Decision MakingManagementASI as the New God: Technocratic Theocracy
As Artificial General Intelligence edges closer to reality, Artificial Superintelligence does too. This paper argues that ASI's unparalleled capabilities might lead people to attribute godlike infallibility to it, result…
AttributeDecision MakingAn Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence
Due to the progress in artificial intelligence, it is important to understand how capable artificial agents should be used when interacting with humans, since high level authority and responsibility often remain with the…
Decision MakingDevelopment of an Adaptive Multi-Domain Artificial Intelligence System Built using Machine Learning and Expert Systems Technologies
Producing an artificial general intelligence (AGI) has been an elusive goal in artificial intelligence (AI) research for some time. An AGI would have the capability, like a human, to be exposed to a new problem domain, l…
Decision MakingExplainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
In this paper, we argue for a paradigm shift from the current model of explainable artificial intelligence (XAI), which may be counter-productive to better human decision making. In early decision support systems, we ass…
Decision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)