Intellectual Property in a Contractual Relationship Involving Artificial Intelligence
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/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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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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