Artificial Intelligence and Copyright: a mapping of the scientific production

Detalhes bibliográficos
Autor(a) principal: Valente, Catherine
Data de Publicação: 2023
Outros Autores: Sartori, Rejane, Marin, João Paulo
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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spelling 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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