Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection

Detalhes bibliográficos
Autor(a) principal: Moreti, Mariana Piovezani
Data de Publicação: 2021
Outros Autores: Oliveira, Tassia, Sartori, Rejane, Caetano, Wilker
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/33098
Resumo: Artificial Intelligence (AI) has  been used in various sectors of the economy, including agribusiness, which has experienced positive consequences of its application. Therefore, it is necessary to ensure that AI-equipped systems as an intangible asset are adequately protected. Thus, the objective of this paper is to portray the most evident challenges and solutions in the use of AI in agribusiness and to specify the forms of protection of intellectual activity using this technology. The methodology is deductive, exploratory character based on bibliographic research. The results show that AI systems are legally protected under the cloak of intellectual property, specifically in computer program legislation, but because of the complexity of the software development process, the challenge is protecting the technical knowledge and the process that constitutes software development. Therefore, adequate contractual instruments to prevent knowledge leakage are essential.
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spelling Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property ProtectionInteligência Artificial no Agronegócio e os Desafios para a Proteção da Propriedade IntelectualAgronegócioInteligência ArtificialPropriedade Intelectual.AgribusinessArtificial intelligenceIntellectual property.Artificial Intelligence (AI) has  been used in various sectors of the economy, including agribusiness, which has experienced positive consequences of its application. Therefore, it is necessary to ensure that AI-equipped systems as an intangible asset are adequately protected. Thus, the objective of this paper is to portray the most evident challenges and solutions in the use of AI in agribusiness and to specify the forms of protection of intellectual activity using this technology. The methodology is deductive, exploratory character based on bibliographic research. The results show that AI systems are legally protected under the cloak of intellectual property, specifically in computer program legislation, but because of the complexity of the software development process, the challenge is protecting the technical knowledge and the process that constitutes software development. Therefore, adequate contractual instruments to prevent knowledge leakage are essential.A Inteligência Artificial (IA) tem sido utilizada nos mais variados setores da economia, incluindo o agronegócio, que tem experimentado consequências positivas de sua aplicação. Portanto, é necessário garantir que sistemas dotados de IA, como um bem intangível, estejam devidamente protegidos. Assim, o objetivo deste artigo é retratar os desafios e as soluções mais evidentes no uso da IA no agronegócio e especificar as formas de proteção da atividade intelectual com o uso dessa tecnologia. A metodologia é dedutiva, de caráter exploratório, fundamentada em pesquisa bibliográfica. Os resultados revelam que os sistemas dotados de IA encontram tutela jurídica sob o manto da propriedade intelectual, especificamente na legislação dos programas de computador, mas, em razão da complexidade do processo de desenvolvimento do software, o desafio está na proteção dos conhecimentos técnicos e do processo que constitui o desenvolvimento do software. Logo, é fundamental haver instrumentos contratuais adequados que evitem a fuga do conhecimento.Universidade Federal da Bahia2021-01-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3309810.9771/cp.v14i1.33098Cadernos de Prospecção; Vol. 14 No. 1 (2021); 60Cadernos de Prospecção; v. 14 n. 1 (2021); 602317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/33098/23546Copyright (c) 2021 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMoreti, Mariana PiovezaniOliveira, TassiaSartori, RejaneCaetano, Wilker2021-01-02T09:48:22Zoai:ojs.periodicos.ufba.br:article/33098Revistahttps://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:2021-01-02T09:48:22Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
Inteligência Artificial no Agronegócio e os Desafios para a Proteção da Propriedade Intelectual
title Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
spellingShingle Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
Moreti, Mariana Piovezani
Agronegócio
Inteligência Artificial
Propriedade Intelectual.
Agribusiness
Artificial intelligence
Intellectual property.
title_short Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
title_full Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
title_fullStr Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
title_full_unstemmed Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
title_sort Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
author Moreti, Mariana Piovezani
author_facet Moreti, Mariana Piovezani
Oliveira, Tassia
Sartori, Rejane
Caetano, Wilker
author_role author
author2 Oliveira, Tassia
Sartori, Rejane
Caetano, Wilker
author2_role author
author
author
dc.contributor.author.fl_str_mv Moreti, Mariana Piovezani
Oliveira, Tassia
Sartori, Rejane
Caetano, Wilker
dc.subject.por.fl_str_mv Agronegócio
Inteligência Artificial
Propriedade Intelectual.
Agribusiness
Artificial intelligence
Intellectual property.
topic Agronegócio
Inteligência Artificial
Propriedade Intelectual.
Agribusiness
Artificial intelligence
Intellectual property.
description Artificial Intelligence (AI) has  been used in various sectors of the economy, including agribusiness, which has experienced positive consequences of its application. Therefore, it is necessary to ensure that AI-equipped systems as an intangible asset are adequately protected. Thus, the objective of this paper is to portray the most evident challenges and solutions in the use of AI in agribusiness and to specify the forms of protection of intellectual activity using this technology. The methodology is deductive, exploratory character based on bibliographic research. The results show that AI systems are legally protected under the cloak of intellectual property, specifically in computer program legislation, but because of the complexity of the software development process, the challenge is protecting the technical knowledge and the process that constitutes software development. Therefore, adequate contractual instruments to prevent knowledge leakage are essential.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-02
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/33098
10.9771/cp.v14i1.33098
url https://periodicos.ufba.br/index.php/nit/article/view/33098
identifier_str_mv 10.9771/cp.v14i1.33098
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/33098/23546
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. 14 No. 1 (2021); 60
Cadernos de Prospecção; v. 14 n. 1 (2021); 60
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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