The wrong kind of AI? Artificial intelligence and the future of labour demand

被引：292
作者：
Acemoglu, Daron [1 ]
Restrepo, Pascual [2 ]
机构：
[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Boston Univ, Boston, MA 02215 USA
来源：
CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY | 2020年 / 13卷 / 01期
基金：
美国国家科学基金会;
关键词：
automation; artificial intelligence; jobs; inequality; innovation; labour demand; productivity; tasks; technology; wages; TECHNOLOGY; TASKS;
D O I：
10.1093/cjres/rsz022
中图分类号：
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号：
0201 ; 020105 ; 03 ; 0303 ;
摘要：
Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the 'right' kind of AI, with better economic and social outcomes.
引用
收藏
页码：25 / 35
页数：11
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