Artificial Intelligence and Copyright: a mapping of the scientific production
Autor(a) principal: | |
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Data de Publicação: | 2023 |
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/50583 |
Resumo: | The issues involving the study of Copyrights and Artificial Intelligence arouse heated debates and little consensus. However, the deepening of such study is unavoidable to try to regulate the rapid evolution of the information society. In this context, the purpose of this paper is to map the scientific production on Artificial Intelligence and Copyright, to compose a consistent bibliographic portfolio that allows establishing an in-depth literature review on the subject in the future. This study is descriptive and exploratory in nature. The technical procedure used is bibliographic research, instrumented by the Knowledge Development Process-Constructivist (ProKnow-C). The results reveal that the papers selected to compose the bibliographic portfolio of this research are presented as a good parameter of the state of the art, as well as demonstrating the relevance of the theme worldwide. The study provides continuity of research in the future through both qualitative and qualitative analysis. |
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Cadernos de Prospecção (Online) |
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Artificial Intelligence and Copyright: a mapping of the scientific productionInteligência Artificial e Direitos Autorais: um mapeamento da produção científicaInteligência ArtificialDireito AutoralProKnow-C.Artificial IntelligenceCopyrightProKnow-C.The issues involving the study of Copyrights and Artificial Intelligence arouse heated debates and little consensus. However, the deepening of such study is unavoidable to try to regulate the rapid evolution of the information society. In this context, the purpose of this paper is to map the scientific production on Artificial Intelligence and Copyright, to compose a consistent bibliographic portfolio that allows establishing an in-depth literature review on the subject in the future. This study is descriptive and exploratory in nature. The technical procedure used is bibliographic research, instrumented by the Knowledge Development Process-Constructivist (ProKnow-C). The results reveal that the papers selected to compose the bibliographic portfolio of this research are presented as a good parameter of the state of the art, as well as demonstrating the relevance of the theme worldwide. The study provides continuity of research in the future through both qualitative and qualitative analysis.As questões que envolvem o estudo de Direitos Autorais e Inteligência Artificial despertam acalorados debates e pouco consenso. Contudo, inafastável o aprofundamento de tal estudo para tentar regular a rápida evolução da sociedade informacional. Nesse contexto, o objetivo deste artigo é mapear a produção científica sobre Inteligência Artificial e Direitos Autorais, a fim de compor um portfólio bibliográfico consistente que permita estabelecer uma revisão da literatura aprofundada sobre o tema no futuro. Este estudo é de natureza descritiva e exploratória. O procedimento técnico utilizado é a pesquisa bibliográfica, instrumentalizada pelo Knowledge Development Process-Constructivist (ProKnow-C). Os resultados revelam que os artigos selecionados para compor o portfólio bibliográfico desta pesquisa se apresentam como um bom parâmetro do estado da arte, bem como demonstram a relevância do tema a nível mundial. O estudo proporciona a continuidade da pesquisa no futuro por meio de uma análise tanto qualitativa quanto quantitativa.Universidade Federal da Bahia2023-05-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/5058310.9771/cp.v16i4.50583Cadernos de Prospecção; Vol. 16 No. 4 (2023): Edição Especial - XVI Encontro Nacional FORTEC; VI Congresso Internacional Profnit e XII ProspeCT&I; 1137-1150Cadernos de Prospecção; v. 16 n. 4 (2023): Edição Especial - XVI Encontro Nacional FORTEC; VI Congresso Internacional Profnit e XII ProspeCT&I; 1137-11502317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/50583/29140Copyright (c) 2022 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessValente, CatherineSartori, RejaneMarin, João Paulo 2023-05-26T13:54:03Zoai:ojs.periodicos.ufba.br:article/50583Revistahttps://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:2023-05-26T13:54:03Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Artificial Intelligence and Copyright: a mapping of the scientific production Inteligência Artificial e Direitos Autorais: um mapeamento da produção científica |
title |
Artificial Intelligence and Copyright: a mapping of the scientific production |
spellingShingle |
Artificial Intelligence and Copyright: a mapping of the scientific production Valente, Catherine Inteligência Artificial Direito Autoral ProKnow-C. Artificial Intelligence Copyright ProKnow-C. |
title_short |
Artificial Intelligence and Copyright: a mapping of the scientific production |
title_full |
Artificial Intelligence and Copyright: a mapping of the scientific production |
title_fullStr |
Artificial Intelligence and Copyright: a mapping of the scientific production |
title_full_unstemmed |
Artificial Intelligence and Copyright: a mapping of the scientific production |
title_sort |
Artificial Intelligence and Copyright: a mapping of the scientific production |
author |
Valente, Catherine |
author_facet |
Valente, Catherine Sartori, Rejane Marin, João Paulo |
author_role |
author |
author2 |
Sartori, Rejane Marin, João Paulo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Valente, Catherine Sartori, Rejane Marin, João Paulo |
dc.subject.por.fl_str_mv |
Inteligência Artificial Direito Autoral ProKnow-C. Artificial Intelligence Copyright ProKnow-C. |
topic |
Inteligência Artificial Direito Autoral ProKnow-C. Artificial Intelligence Copyright ProKnow-C. |
description |
The issues involving the study of Copyrights and Artificial Intelligence arouse heated debates and little consensus. However, the deepening of such study is unavoidable to try to regulate the rapid evolution of the information society. In this context, the purpose of this paper is to map the scientific production on Artificial Intelligence and Copyright, to compose a consistent bibliographic portfolio that allows establishing an in-depth literature review on the subject in the future. This study is descriptive and exploratory in nature. The technical procedure used is bibliographic research, instrumented by the Knowledge Development Process-Constructivist (ProKnow-C). The results reveal that the papers selected to compose the bibliographic portfolio of this research are presented as a good parameter of the state of the art, as well as demonstrating the relevance of the theme worldwide. The study provides continuity of research in the future through both qualitative and qualitative analysis. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-26 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/50583 10.9771/cp.v16i4.50583 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/50583 |
identifier_str_mv |
10.9771/cp.v16i4.50583 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/50583/29140 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 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. 16 No. 4 (2023): Edição Especial - XVI Encontro Nacional FORTEC; VI Congresso Internacional Profnit e XII ProspeCT&I; 1137-1150 Cadernos de Prospecção; v. 16 n. 4 (2023): Edição Especial - XVI Encontro Nacional FORTEC; VI Congresso Internacional Profnit e XII ProspeCT&I; 1137-1150 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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