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The wrong kind of AI? Artificial intelligence and the future of labour demand
Name
The Wrong Kind of AI - Artificial Intelligence and
Description
Accepted version
Size
147 KB
Format
Unknown
Checksum (MD5)
b1c11be411e924cd6803d96806bc3dc6
Author(s) •
Acemoglu, Daron
Restrepo, Pascual
Date Issued
2020
Journal
Cambridge Journal of Regions, Economy and Society
Publisher
Oxford University Press (OUP)
Version
Author's final manuscript
Abstract
Abstract
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.
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.
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
10.1093/CJRES/RSZ022