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Artificial Intelligence and employment: a systematic review

Author

Listed:
  • Rafael de Acypreste
  • Edemilson Paraná

Abstract

This paper presents a systematic literature review, grounded on bibliometricprocedures, of the (political economy) works, produced from 2008 to 2020, on the relationsbetween Artificial Intelligence and employment. It detects a growing tendency of publishedpapers in this field, especially from 2019, and identifies four main groups of concerns onthis topic. Within these groups, a prevalence of more optimistic over skeptical accountsand, especially, of economic orthodox over heterodox approaches on the issue can be noted.Overall, it is possible to understand that both the reviewed works and their metrics are quitedispersed and varied in scope. Among other reasons, this is due to the lack of a commonbasic definition, within the field, of AI in the first place. JEL Classification: J21; O33; P16.

Suggested Citation

  • Rafael de Acypreste & Edemilson Paraná, 2022. "Artificial Intelligence and employment: a systematic review," Brazilian Journal of Political Economy, Center of Political Economy, vol. 42(4), pages 1014-1032.
    • Handle: RePEc:ekm:repojs:v:42:y:2022:i:4:p:1014-1032:id:2376
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    More about this item

    Keywords

    Artificial Intelligence; automation; work;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

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