Artificial Intelligence in Agribusiness and the Challenges for Intellectual Property Protection
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/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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Cadernos de Prospecção (Online) |
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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 |
_version_ |
1799319847685849088 |