Application of Artificial Intelligence in the Public Policy Cycle
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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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 |
_version_ |
1799319843950821376 |