Intellectual Property in a Contractual Relationship Involving Artificial Intelligence

Detalhes bibliográficos
Autor(a) principal: Altavini, Nilza Maria Souza
Data de Publicação: 2019
Outros Autores: Gumieiro, Daniela da Silva, Pereira, Flávia Oliveira, Sartori, Rejane
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/33046
Resumo: As technology advances companies are required to keep up with the revolutions that follow. Artificial intelligence allows productive processes to be maximized through automation but it imposes attention and enhancement of intellectual property management. In this context the present work aims to analyze a software license agreement, signed between a sugar-energy plant and a software supplier, that promotes artificial intelligence in an industrial plant to identify its suitability to the intellectual property aspects. This research is arranged as exploratory and descriptive with a qualitative approach. Data was acquired from documents and field research carried out in a sugar-energy plant in the State of Paraná. The results show that the hiring process lacks fundamentals about the management of intellectual property as well as a legal basis and certainty which requires the plant to pay more attention to the legal foundations inherent to intellectual property.
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spelling Intellectual Property in a Contractual Relationship Involving Artificial IntelligenceA Propriedade Intelectual em uma Relação Contratual Compreendendo Inteligência ArtificialInteligência ArtificialPropriedade IntelectualSegredo Industrial.Artificial IntelligenceIntellectual PropertyIndustrial Secret.As technology advances companies are required to keep up with the revolutions that follow. Artificial intelligence allows productive processes to be maximized through automation but it imposes attention and enhancement of intellectual property management. In this context the present work aims to analyze a software license agreement, signed between a sugar-energy plant and a software supplier, that promotes artificial intelligence in an industrial plant to identify its suitability to the intellectual property aspects. This research is arranged as exploratory and descriptive with a qualitative approach. Data was acquired from documents and field research carried out in a sugar-energy plant in the State of Paraná. The results show that the hiring process lacks fundamentals about the management of intellectual property as well as a legal basis and certainty which requires the plant to pay more attention to the legal foundations inherent to intellectual property.O avanço tecnológico exige que as empresas acompanhem as revoluções que se propagam. Com a inteligência artificial, os processos produtivos são maximizados por meio da automação, impondo, porém, atenção e aprimoramento da gestão da propriedade intelectual. Nesse contexto, o presente trabalho pretende analisar um contrato de licença de uso de um software que promove a inteligência artificial em uma planta industrial, firmado entre uma usina e um fornecedor de software, para identificar sua adequação às garantias de proteção das criações envolvidas. Este estudo configura-se como exploratório e descritivo, com abordagem qualitativa. A coleta de dados foi realizada a partir de pesquisa documental e de campo, sendo esta efetuada em uma usina sucroenergética paranaense. Os resultados revelam que o processo de contratação carece de fundamentos da gestão da propriedade intelectual e de bases legais e de segurança jurídica, conduzindo à necessidade de aperfeiçoamentos.Universidade Federal da Bahia2019-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3304610.9771/cp.v12i5.33046Cadernos de Prospecção; Vol. 12 No. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1206Cadernos de Prospecção; v. 12 n. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 12062317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/33046/20663Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessAltavini, Nilza Maria SouzaGumieiro, Daniela da SilvaPereira, Flávia OliveiraSartori, Rejane2022-03-03T12:34:43Zoai:ojs.periodicos.ufba.br:article/33046Revistahttps://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:2022-03-03T12:34:43Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
A Propriedade Intelectual em uma Relação Contratual Compreendendo Inteligência Artificial
title Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
spellingShingle Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
Altavini, Nilza Maria Souza
Inteligência Artificial
Propriedade Intelectual
Segredo Industrial.
Artificial Intelligence
Intellectual Property
Industrial Secret.
title_short Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
title_full Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
title_fullStr Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
title_full_unstemmed Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
title_sort Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
author Altavini, Nilza Maria Souza
author_facet Altavini, Nilza Maria Souza
Gumieiro, Daniela da Silva
Pereira, Flávia Oliveira
Sartori, Rejane
author_role author
author2 Gumieiro, Daniela da Silva
Pereira, Flávia Oliveira
Sartori, Rejane
author2_role author
author
author
dc.contributor.author.fl_str_mv Altavini, Nilza Maria Souza
Gumieiro, Daniela da Silva
Pereira, Flávia Oliveira
Sartori, Rejane
dc.subject.por.fl_str_mv Inteligência Artificial
Propriedade Intelectual
Segredo Industrial.
Artificial Intelligence
Intellectual Property
Industrial Secret.
topic Inteligência Artificial
Propriedade Intelectual
Segredo Industrial.
Artificial Intelligence
Intellectual Property
Industrial Secret.
description As technology advances companies are required to keep up with the revolutions that follow. Artificial intelligence allows productive processes to be maximized through automation but it imposes attention and enhancement of intellectual property management. In this context the present work aims to analyze a software license agreement, signed between a sugar-energy plant and a software supplier, that promotes artificial intelligence in an industrial plant to identify its suitability to the intellectual property aspects. This research is arranged as exploratory and descriptive with a qualitative approach. Data was acquired from documents and field research carried out in a sugar-energy plant in the State of Paraná. The results show that the hiring process lacks fundamentals about the management of intellectual property as well as a legal basis and certainty which requires the plant to pay more attention to the legal foundations inherent to intellectual property.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-30
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/33046
10.9771/cp.v12i5.33046
url https://periodicos.ufba.br/index.php/nit/article/view/33046
identifier_str_mv 10.9771/cp.v12i5.33046
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/33046/20663
dc.rights.driver.fl_str_mv Copyright (c) 2020 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 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. 12 No. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1206
Cadernos de Prospecção; v. 12 n. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1206
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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