The economic institutions of artificial intelligence

被引:2
|
作者
Davidson, Sinclair [1 ]
机构
[1] RMIT Univ, Blockchain Innovat Hub, Melbourne, Vic, Australia
关键词
artificial intelligence; bounded rationality; knowledge problem; D23; D80; P11; OWNERSHIP; COSTS;
D O I
10.1017/S1744137423000395
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper explores the role of artificial intelligence (AI) within economic institutions, focusing on bounded rationality as understood by Herbert Simon. Artificial Intelligence can do many things in the economy, such as increasing productivity, enhancing innovation, creating new sectors and jobs, and improving living standards. One of the ways that AI can disrupt the economy is by reducing the problem of bounded rationality. AI can help overcome this problem by processing large amounts of data, finding patterns and insights, and making predictions and recommendations. This insight raises the question: can AI overcome planning problems - could it be that central planning is now a viable option for economic organisation? This paper argues that AI does not make central planning viable at either the nation-state level or the firm level, simply because AI cannot resolve the knowledge problem as described by Ludwig von Mises and Friedrich Hayek.
引用
收藏
页数:16
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