[宏观经济学研讨会] Artificial Intelligence and Economic Growth


【主讲】郭豫媚 中央财经大学金融学院讲师
【主题】 Artificial Intelligence and Economic Growth(Philippe Aghion et al., NBER Working Paper, 2017)
【摘要】 This paper examines the potential impact of artificial intelligence (A.I.) on economic growth. We model A.I. as the latest form of automation, a broader process dating back more than 200 years. Electricity, internal combustion engines, and semiconductors facilitated automation in the last century, but A.I. now seems poised to automate many tasks once thought to be out of reach, from driving cars to making medical recommendations and beyond. How will this affect economic growth and the division of income between labor and capital? What about the potential emergence of “singularities” and “superintelligence,” concepts that animate many discussions in the machine intelligence community? How will the linkages between A.I. and growth be mediated by firm-level considerations, including organization and market structure? The goal throughout is to refine a set of critical questions about A.I. and economic growth and to contribute to shaping an agenda for the field. One theme that emerges is based on Baumol’s “cost disease” insight: growth may be constrained not by what we are good at but rather by what is essential and yet hard to improve.

【主持】陈彦斌 教授

人大宏观经济学研讨会(Macro Workshop)旨在追踪宏观经济学国际最新进展,倡导构建符合国情的动态优化模型,并使用计算机模拟研究经济增长、收入分配和宏观政策等中国宏观经济重大问题。

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