Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Júlia Melo Carvalho Ribeiro
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/47242
Resumo: This study proposes to investigate the challenges imposed by machine learning systems on the foundations of tort law in Brazil, from the perspective of the technology’s different applications and degrees of complexity, and, therefore, the impossibility of a generic definition of a single liability regime (strict or negligence-based) for damages caused by the emergent behavior of artificial intelligence systems. Faced with this impossibility, it is found that the establishment of a principle-based regulatory regime, surrounded by normative microsystems of each area of application of technology, when necessary, would be welcome in the current stage of development of AI. In order to identify the main principles related to liability and AI on the global stage, the main regulations on artificial intelligence in the United States, China, United Kingdom and Brazil are studied. From this analysis, it is identified that accountability, explainability, and transparency are essential principles to regulate the AI liability issue. Given this information, a parallel is drawn between these principles, tort law in Brazil, and its application to cases of damage caused by artificial intelligence.
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spelling Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civilDireito civilResponsabilidade (Direito)Inteligência artificialInteligência artificialResponsabilidade civilRegulamentosPrincípiosAccountabilityThis study proposes to investigate the challenges imposed by machine learning systems on the foundations of tort law in Brazil, from the perspective of the technology’s different applications and degrees of complexity, and, therefore, the impossibility of a generic definition of a single liability regime (strict or negligence-based) for damages caused by the emergent behavior of artificial intelligence systems. Faced with this impossibility, it is found that the establishment of a principle-based regulatory regime, surrounded by normative microsystems of each area of application of technology, when necessary, would be welcome in the current stage of development of AI. In order to identify the main principles related to liability and AI on the global stage, the main regulations on artificial intelligence in the United States, China, United Kingdom and Brazil are studied. From this analysis, it is identified that accountability, explainability, and transparency are essential principles to regulate the AI liability issue. Given this information, a parallel is drawn between these principles, tort law in Brazil, and its application to cases of damage caused by artificial intelligence.Universidade Federal de Minas Gerais2022-11-16T14:04:50Z2025-09-09T00:36:25Z2022-11-16T14:04:50Z2022-08-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/1843/47242porJúlia Melo Carvalho Ribeiroinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-09T18:12:17Zoai:repositorio.ufmg.br:1843/47242Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-09T18:12:17Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
title Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
spellingShingle Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
Júlia Melo Carvalho Ribeiro
Direito civil
Responsabilidade (Direito)
Inteligência artificial
Inteligência artificial
Responsabilidade civil
Regulamentos
Princípios
Accountability
title_short Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
title_full Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
title_fullStr Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
title_full_unstemmed Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
title_sort Regulação da inteligência artificial à luz dos desafios impostos pela tecnologia à responsabilidade civil
author Júlia Melo Carvalho Ribeiro
author_facet Júlia Melo Carvalho Ribeiro
author_role author
dc.contributor.author.fl_str_mv Júlia Melo Carvalho Ribeiro
dc.subject.por.fl_str_mv Direito civil
Responsabilidade (Direito)
Inteligência artificial
Inteligência artificial
Responsabilidade civil
Regulamentos
Princípios
Accountability
topic Direito civil
Responsabilidade (Direito)
Inteligência artificial
Inteligência artificial
Responsabilidade civil
Regulamentos
Princípios
Accountability
description This study proposes to investigate the challenges imposed by machine learning systems on the foundations of tort law in Brazil, from the perspective of the technology’s different applications and degrees of complexity, and, therefore, the impossibility of a generic definition of a single liability regime (strict or negligence-based) for damages caused by the emergent behavior of artificial intelligence systems. Faced with this impossibility, it is found that the establishment of a principle-based regulatory regime, surrounded by normative microsystems of each area of application of technology, when necessary, would be welcome in the current stage of development of AI. In order to identify the main principles related to liability and AI on the global stage, the main regulations on artificial intelligence in the United States, China, United Kingdom and Brazil are studied. From this analysis, it is identified that accountability, explainability, and transparency are essential principles to regulate the AI liability issue. Given this information, a parallel is drawn between these principles, tort law in Brazil, and its application to cases of damage caused by artificial intelligence.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-16T14:04:50Z
2022-11-16T14:04:50Z
2022-08-26
2025-09-09T00:36:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1843/47242
url https://hdl.handle.net/1843/47242
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv repositorio@ufmg.br
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