Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Detalhes bibliográficos
Autor(a) principal: Reis, João
Data de Publicação: 2021
Outros Autores: Santo, Paula Espírito, Melão, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/1114
Resumo: Goal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting. Design/Methodology/Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results: The results indicate that public services require four kinds of intelligence – mechanical, analytical, intuitive, and empathetic – albeit, with much less expression than in private services. Limitations of the investigation: This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications: As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies. Originality/Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.
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spelling Influence of artificial intelligence on public employment and its impact on politics: A systematic literature reviewArtificial IntelligenceRoboticsPolicyEmploymentPublic ServicesGoal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting. Design/Methodology/Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results: The results indicate that public services require four kinds of intelligence – mechanical, analytical, intuitive, and empathetic – albeit, with much less expression than in private services. Limitations of the investigation: This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications: As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies. Originality/Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2021-01-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLiterature reviewapplication/pdfhttps://bjopm.org.br/bjopm/article/view/111410.14488/BJOPM.2021.010Brazilian Journal of Operations & Production Management; Vol. 18 No. 3 (2021); 1-222237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/1114/962Copyright (c) 2021 João Reis, Paula Espírito Santo, Nuno Melãoinfo:eu-repo/semantics/openAccessReis, JoãoSanto, Paula EspíritoMelão, Nuno2021-05-18T14:17:24Zoai:ojs.bjopm.org.br:article/1114Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:26.824953Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
title Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
spellingShingle Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
Reis, João
Artificial Intelligence
Robotics
Policy
Employment
Public Services
title_short Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
title_full Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
title_fullStr Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
title_full_unstemmed Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
title_sort Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review
author Reis, João
author_facet Reis, João
Santo, Paula Espírito
Melão, Nuno
author_role author
author2 Santo, Paula Espírito
Melão, Nuno
author2_role author
author
dc.contributor.author.fl_str_mv Reis, João
Santo, Paula Espírito
Melão, Nuno
dc.subject.por.fl_str_mv Artificial Intelligence
Robotics
Policy
Employment
Public Services
topic Artificial Intelligence
Robotics
Policy
Employment
Public Services
description Goal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting. Design/Methodology/Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results: The results indicate that public services require four kinds of intelligence – mechanical, analytical, intuitive, and empathetic – albeit, with much less expression than in private services. Limitations of the investigation: This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications: As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies. Originality/Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Literature review
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/1114
10.14488/BJOPM.2021.010
url https://bjopm.org.br/bjopm/article/view/1114
identifier_str_mv 10.14488/BJOPM.2021.010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/1114/962
dc.rights.driver.fl_str_mv Copyright (c) 2021 João Reis, Paula Espírito Santo, Nuno Melão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 João Reis, Paula Espírito Santo, Nuno Melão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 18 No. 3 (2021); 1-22
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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