Artificial Intelligence and employment: a systematic review

ABSTRACT This paper presents a systematic literature review, grounded on bibliometric procedures, of the (political economy) works, produced from 2008 to 2020, on the relations between Artificial Intelligence and employment. It detects a growing tendency of published papers in this field, especially...

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Bibliographic Details
Main Authors: RAFAEL DE ACYPRESTE, EDEMILSON PARANÁ
Format: Article
Language:English
Published: Editora 34 2022-12-01
Series:Brazilian Journal of Political Economy
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-31572022000401014&tlng=en
Description
Summary:ABSTRACT This paper presents a systematic literature review, grounded on bibliometric procedures, of the (political economy) works, produced from 2008 to 2020, on the relations between Artificial Intelligence and employment. It detects a growing tendency of published papers in this field, especially from 2019, and identifies four main groups of concerns on this topic. Within these groups, a prevalence of more optimistic over skeptical accounts and, 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 quite dispersed and varied in scope. Among other reasons, this is due to the lack of a common basic definition, within the field, of AI in the first place.
ISSN:1809-4538