Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/36727 |
Resumo: | Knowing the academic and technological trends, from a bibliographic and patent survey, on the use of AI in the public sector and how this use can complement, requalify or replace the human workforce in governments, this study found that the use of AI is growing in the public sector and that in some types of work cognitive technologies can even replace servers. The greatest reflection of AI in the public sector will be the complementation and requalification of the workforce, since its use can result in the liberation of up to 50% of public servants' time, freeing them to develop skills in which machines have not surpassed the human. The results indicate that AI technologies will change the functioning of government and will affect structurally, planning, strategy and human resource management, which will seek to evolve from the current focus on human talent to consider its interaction with technology. |
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Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector Tendências no Uso de Inteligência Artificial e sua Influência na Requalificação da Força de Trabalho no Setor PúblicoInteligência ArtificialIA no Setor PúblicoIA na Gestão PúblicaForça de Trabalho.Artificial IntelligenceAI in the Public DepartmentAI in Public ManagementWorkforce. Knowing the academic and technological trends, from a bibliographic and patent survey, on the use of AI in the public sector and how this use can complement, requalify or replace the human workforce in governments, this study found that the use of AI is growing in the public sector and that in some types of work cognitive technologies can even replace servers. The greatest reflection of AI in the public sector will be the complementation and requalification of the workforce, since its use can result in the liberation of up to 50% of public servants' time, freeing them to develop skills in which machines have not surpassed the human. The results indicate that AI technologies will change the functioning of government and will affect structurally, planning, strategy and human resource management, which will seek to evolve from the current focus on human talent to consider its interaction with technology. Este estudo pretende identificar as tendências acadêmicas e tecnológicas, a partir de levantamento bibliográfico e patentário, sobre o uso da Inteligência Artificial (IA) no setor público e como esse uso poderá complementar, requalificar ou substituir a força de trabalho humana nos governos. Constatou-se que o uso de IA é crescente no setor público e que em alguns tipos de trabalho as tecnologias cognitivas poderão até substituir os servidores. O maior reflexo da IA no setor público será a complementação e a requalificação da força de trabalho, já que o seu uso pode resultar na liberação de até 50% do tempo dos servidores públicos, liberando-os para desenvolver habilidades nas quais as máquinas não superaram o trabalho humano. Os resultados apontam que as tecnologias de IA mudarão o funcionamento do governo e afetarão estruturalmente o planejamento, a estratégia e a gestão de recursos humanos, que deverá considerar o aumento da interação dos humanos com a tecnologia. Universidade Federal da Bahia2021-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProspecção; Revisão de Literaturaapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3672710.9771/cp.v14i3.36727Cadernos de Prospecção; Vol. 14 No. 3 (2021); 824Cadernos de Prospecção; v. 14 n. 3 (2021); 8242317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/36727/24817Copyright (c) 2021 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Washington Fernando daSilva, Fernando SelleriRabêlo, Olivan da Silva2021-07-02T09:16:30Zoai:ojs.periodicos.ufba.br:article/36727Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2021-07-02T09:16:30Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector Tendências no Uso de Inteligência Artificial e sua Influência na Requalificação da Força de Trabalho no Setor Público |
title |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
spellingShingle |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector Silva, Washington Fernando da Inteligência Artificial IA no Setor Público IA na Gestão Pública Força de Trabalho. Artificial Intelligence AI in the Public Department AI in Public Management Workforce. |
title_short |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
title_full |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
title_fullStr |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
title_full_unstemmed |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
title_sort |
Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector |
author |
Silva, Washington Fernando da |
author_facet |
Silva, Washington Fernando da Silva, Fernando Selleri Rabêlo, Olivan da Silva |
author_role |
author |
author2 |
Silva, Fernando Selleri Rabêlo, Olivan da Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Washington Fernando da Silva, Fernando Selleri Rabêlo, Olivan da Silva |
dc.subject.por.fl_str_mv |
Inteligência Artificial IA no Setor Público IA na Gestão Pública Força de Trabalho. Artificial Intelligence AI in the Public Department AI in Public Management Workforce. |
topic |
Inteligência Artificial IA no Setor Público IA na Gestão Pública Força de Trabalho. Artificial Intelligence AI in the Public Department AI in Public Management Workforce. |
description |
Knowing the academic and technological trends, from a bibliographic and patent survey, on the use of AI in the public sector and how this use can complement, requalify or replace the human workforce in governments, this study found that the use of AI is growing in the public sector and that in some types of work cognitive technologies can even replace servers. The greatest reflection of AI in the public sector will be the complementation and requalification of the workforce, since its use can result in the liberation of up to 50% of public servants' time, freeing them to develop skills in which machines have not surpassed the human. The results indicate that AI technologies will change the functioning of government and will affect structurally, planning, strategy and human resource management, which will seek to evolve from the current focus on human talent to consider its interaction with technology. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Prospecção; Revisão de Literatura |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/36727 10.9771/cp.v14i3.36727 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/36727 |
identifier_str_mv |
10.9771/cp.v14i3.36727 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/36727/24817 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 14 No. 3 (2021); 824 Cadernos de Prospecção; v. 14 n. 3 (2021); 824 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
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