Application of Artificial Intelligence in the Public Policy Cycle

Detalhes bibliográficos
Autor(a) principal: Campos, Sandro Luís Brandão
Data de Publicação: 2022
Outros Autores: Figueiredo, Josiel Maimone de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/42957
Resumo: The public policy cycle is a process that begins with the conflicting identification and prioritization of the public problem, the implementation of the solution, until the validation of the problem resolution. Currently, there are techniques, especially artificial intelligence, that can support the public administration to use the data under their control more efficiently in problem solving. This study explores how world governments apply artificial intelligence to public policy. Therefore, bibliometric, patentometric and documentary analyzes were applied, also observing the countries' national artificial intelligence strategies as an opportunity for development and strengthening. Brazil, although with scientific studies in the area, is far removed from this strategic development race. The biggest initiatives for the use of artificial intelligence are in the implementation phase of public policy and with less focus on identifying the public problem, according to the 201 articles and 46 patent documents analyzed in this study.
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spelling Application of Artificial Intelligence in the Public Policy CycleAplicação de Inteligência Artificial no Ciclo de Políticas PúblicasInteligência ArtificialPolítica PúblicaGoverno Digital.Artificial IntelligencePublic PolicyDigital Government.The public policy cycle is a process that begins with the conflicting identification and prioritization of the public problem, the implementation of the solution, until the validation of the problem resolution. Currently, there are techniques, especially artificial intelligence, that can support the public administration to use the data under their control more efficiently in problem solving. This study explores how world governments apply artificial intelligence to public policy. Therefore, bibliometric, patentometric and documentary analyzes were applied, also observing the countries' national artificial intelligence strategies as an opportunity for development and strengthening. Brazil, although with scientific studies in the area, is far removed from this strategic development race. The biggest initiatives for the use of artificial intelligence are in the implementation phase of public policy and with less focus on identifying the public problem, according to the 201 articles and 46 patent documents analyzed in this study.O ciclo de política pública é um processo que inicia com a conflituosa identificação e priorização do problema público, a implementação da solução até a validação da resolução do problema. Atualmente existem técnicas, como a inteligência artificial, que podem apoiar a administração pública a utilizar com maior eficiência os dados sob sua tutela na resolução de problemas. Este estudo explora como os governos mundiais aplicam a inteligência artificial em políticas públicas. Para tanto, foram aplicadas análises bibliométrica, patentométrica e documental, observando ainda as estratégias nacionais de inteligência artificial dos países como oportunidade de desenvolvimento e fortalecimento. O Brasil, embora com estudos científicos na área, está muito afastado dessa corrida estratégica de desenvolvimento. As maiores iniciativas de uso de inteligência artificial estão na etapa de implementação da política pública e com menor foco na identificação do problema público, conforme os 201 artigos e 46 documentos de patente analisados neste estudo.Universidade Federal da Bahia2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProspecçãoapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/4295710.9771/cp.v15i1.42957Cadernos de Prospecção; Vol. 15 No. 1 (2022); 196-214Cadernos de Prospecção; v. 15 n. 1 (2022); 196-2142317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/42957/25827Copyright (c) 2021 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCampos, Sandro Luís Brandão Figueiredo, Josiel Maimone de2024-03-12T17:35:30Zoai:ojs.periodicos.ufba.br:article/42957Revistahttps://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:2024-03-12T17:35:30Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Application of Artificial Intelligence in the Public Policy Cycle
Aplicação de Inteligência Artificial no Ciclo de Políticas Públicas
title Application of Artificial Intelligence in the Public Policy Cycle
spellingShingle Application of Artificial Intelligence in the Public Policy Cycle
Campos, Sandro Luís Brandão
Inteligência Artificial
Política Pública
Governo Digital.
Artificial Intelligence
Public Policy
Digital Government.
title_short Application of Artificial Intelligence in the Public Policy Cycle
title_full Application of Artificial Intelligence in the Public Policy Cycle
title_fullStr Application of Artificial Intelligence in the Public Policy Cycle
title_full_unstemmed Application of Artificial Intelligence in the Public Policy Cycle
title_sort Application of Artificial Intelligence in the Public Policy Cycle
author Campos, Sandro Luís Brandão
author_facet Campos, Sandro Luís Brandão
Figueiredo, Josiel Maimone de
author_role author
author2 Figueiredo, Josiel Maimone de
author2_role author
dc.contributor.author.fl_str_mv Campos, Sandro Luís Brandão
Figueiredo, Josiel Maimone de
dc.subject.por.fl_str_mv Inteligência Artificial
Política Pública
Governo Digital.
Artificial Intelligence
Public Policy
Digital Government.
topic Inteligência Artificial
Política Pública
Governo Digital.
Artificial Intelligence
Public Policy
Digital Government.
description The public policy cycle is a process that begins with the conflicting identification and prioritization of the public problem, the implementation of the solution, until the validation of the problem resolution. Currently, there are techniques, especially artificial intelligence, that can support the public administration to use the data under their control more efficiently in problem solving. This study explores how world governments apply artificial intelligence to public policy. Therefore, bibliometric, patentometric and documentary analyzes were applied, also observing the countries' national artificial intelligence strategies as an opportunity for development and strengthening. Brazil, although with scientific studies in the area, is far removed from this strategic development race. The biggest initiatives for the use of artificial intelligence are in the implementation phase of public policy and with less focus on identifying the public problem, according to the 201 articles and 46 patent documents analyzed in this study.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Prospecção
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/42957
10.9771/cp.v15i1.42957
url https://periodicos.ufba.br/index.php/nit/article/view/42957
identifier_str_mv 10.9771/cp.v15i1.42957
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/42957/25827
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. 15 No. 1 (2022); 196-214
Cadernos de Prospecção; v. 15 n. 1 (2022); 196-214
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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