Inteligência artificial no Poder Judiciário: ética e eficiência em debate
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da PUC_SP |
Texto Completo: | https://repositorio.pucsp.br/jspui/handle/handle/24803 |
Resumo: | Artificial intelligence (AI) has become part of our daily lives, being used in various sectors. Machines that are used for AI are capable of interacting with humans and the environment. However, most of us have little or no understanding and knowledge about how these intelligent systems work and generate results and actions that can impact our lives. The objective of this work is to show the efforts that have been made so that the legal systems that use AI can serve their users in a more agile, efficient and ethical way, reducing the time of court proceedings. Many algorithms used for machine learning cannot be analyzed or interpreted by humans, being somewhat obscure in the eyes of users. Thus, we can say that the acceptance and insertion of this technology in our lives can generate many questions because we do not understand how it works and is developed. However, we can say that artificial intelligence is a new area, despite having been around for many years, but only now that it has taken on great proportions. The objective of this research is to work on issues related to clarification, on the issue of intelligent agent reasoning, so that the final result is more reliable, efficient and ethical. We can point out that systems in this way can be audited to prevent problems and misconceptions of use, and to hold those involved in development accountable as a result of the result. In this way, passing through the understanding and acceptance of those who developed it and the customers. We show the new mechanics used in our legal environment, through the insertion of Artificial Intelligence and new technologies in the Judiciary. Bringing information about how Artificial Intelligence emerged and how information is generated to build a system closer to human reality. The challenges are great for the AI system, with new technologies and concerns when we take the legal hold to review, evaluate and give a conclusion to judgment. This work mentions about the impact of AI (Artificial Intelligence) in society and in the legal environment, I talk about the concept of Machine Learning and Deep Learning. As a result of the IA Implementation, in terms of agility in the automation of processes, and what are the benefits. With the Coronavirus pandemic, the Judiciary was imbued with the need to use technology so that its activities would not be stopped due to the imperative need for social distance. Thus, new themes emerged from this practice, i.e., ethics as a guide for legal actions, speed as a key to access to justice and efficiency as a catalyst for the use of technologies. We use Data Quantitative Research Method. We also intend to draw a parallel between legal consequentialism and automation in this environment in which Artificial Intelligence is the center of the development of Law. Our observations generated a set of guidelines for the development of the AI system |
id |
PUC_SP-1_d77dc1613526c8be61ba9d64110d5a12 |
---|---|
oai_identifier_str |
oai:repositorio.pucsp.br:handle/24803 |
network_acronym_str |
PUC_SP-1 |
network_name_str |
Biblioteca Digital de Teses e Dissertações da PUC_SP |
repository_id_str |
|
spelling |
Alvim, Marcia Cristina de Souzahttp://lattes.cnpq.br/6628357185749128http://lattes.cnpq.br/5562992895323725Ribeiro, Márcio Vinicius Machado2022-02-22T17:07:30Z2022-02-22T17:07:30Z2021-11-22Ribeiro, Márcio Vinicius Machado. Inteligência artificial no Poder Judiciário: ética e eficiência em debate. 2021. Dissertação (Mestrado em Direito) - Programa de Estudos Pós-Graduados em Direito da Pontifícia Universidade Católica de São Paulo, São Paulo, 2021.https://repositorio.pucsp.br/jspui/handle/handle/24803Artificial intelligence (AI) has become part of our daily lives, being used in various sectors. Machines that are used for AI are capable of interacting with humans and the environment. However, most of us have little or no understanding and knowledge about how these intelligent systems work and generate results and actions that can impact our lives. The objective of this work is to show the efforts that have been made so that the legal systems that use AI can serve their users in a more agile, efficient and ethical way, reducing the time of court proceedings. Many algorithms used for machine learning cannot be analyzed or interpreted by humans, being somewhat obscure in the eyes of users. Thus, we can say that the acceptance and insertion of this technology in our lives can generate many questions because we do not understand how it works and is developed. However, we can say that artificial intelligence is a new area, despite having been around for many years, but only now that it has taken on great proportions. The objective of this research is to work on issues related to clarification, on the issue of intelligent agent reasoning, so that the final result is more reliable, efficient and ethical. We can point out that systems in this way can be audited to prevent problems and misconceptions of use, and to hold those involved in development accountable as a result of the result. In this way, passing through the understanding and acceptance of those who developed it and the customers. We show the new mechanics used in our legal environment, through the insertion of Artificial Intelligence and new technologies in the Judiciary. Bringing information about how Artificial Intelligence emerged and how information is generated to build a system closer to human reality. The challenges are great for the AI system, with new technologies and concerns when we take the legal hold to review, evaluate and give a conclusion to judgment. This work mentions about the impact of AI (Artificial Intelligence) in society and in the legal environment, I talk about the concept of Machine Learning and Deep Learning. As a result of the IA Implementation, in terms of agility in the automation of processes, and what are the benefits. With the Coronavirus pandemic, the Judiciary was imbued with the need to use technology so that its activities would not be stopped due to the imperative need for social distance. Thus, new themes emerged from this practice, i.e., ethics as a guide for legal actions, speed as a key to access to justice and efficiency as a catalyst for the use of technologies. We use Data Quantitative Research Method. We also intend to draw a parallel between legal consequentialism and automation in this environment in which Artificial Intelligence is the center of the development of Law. Our observations generated a set of guidelines for the development of the AI systemA inteligência artificial (IA) tornou-se parte do cotidiano e passou a ser utilizada em diversos setores. As máquinas usadas para IA são capazes de interagir com o ser humano e o ambiente. No entanto, a maioria das pessoas tem pouco ou nenhum conhecimento sobre como esses sistemas inteligentes funcionam, embora gerem resultados e ações que podem impactar a vida de todos. O objetivo dessa pesquisa é revelar os esforços empenhados para que os sistemas jurídicos que utilizam a IA possam atender de forma mais ágil, eficiente e ética aos seus usuários, reduzindo o tempo dos processos nos tribunais. Muitos algoritmos usados para o aprendizado de máquina não podem ser analisados ou interpretados por humanos, sendo algo um tanto obscuro aos olhos dos usuários. Destarte, diz-se que a aceitação e a inserção dessa tecnologia podem gerar muitos questionamentos por não se entender seu funcionamento e desenvolvimento. A IA, embora já exista há tempos, pode ser considerada uma área nova no sentido de somente agora tomar grandes proporções. Esta pesquisa trabalha questões relacionadas ao esclarecimento e ao raciocínio do agente inteligente, de forma que seja mais confiável, eficiente e ético o resultado final. Dessa maneira, os sistemas podem ser auditados para prevenir problemas e preconceitos durante a sua utilização, responsabilizando as pessoas em consequência do resultado. Mostram-se as novas mecânicas utilizadas no ambiente jurídico, através da inserção da IA e de novas tecnologias no Poder Judiciário. Trazse informações sobre como surgiu a IA e como são geradas as informações para a construção de um sistema mais próximo da realidade humana. Os desafios são grandes, pois as novas tecnologias trazem preocupações quando há espera jurídica para se analisar, avaliar e julgar. Este trabalho discorre sobre o impacto da IA na sociedade e no meio jurídico, abarcando os conceitos de Machine Learning e de Deep Learning, além dos resultados da implantação do IA, em termos de agilidade da automação dos processos e seus benefícios. Com a pandemia da Covid-19, o Poder Judiciário se viu imbuído da necessidade de usar tecnologias para que suas atividades não ficassem paradas em razão do distanciamento social. Dessa prática surgiram novas temáticas: a ética como norteadora das ações judiciais, a celeridade como chave do acesso à justiça e a eficiência como catalisadora do uso das tecnologias. Para a metodologia do trabalho, foram eleitos métodos de pesquisa quantitativo de dados e traçado um paralelo entre o consequencialismo jurídico e automação nesse ambiente no qual a IA é centro do desenvolvimento do direito para gerar observações conjuntas com o objetivo de oferecer diretrizes ao desenvolvimento do sistema IACoordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPESporPontifícia Universidade Católica de São PauloPrograma de Estudos Pós-Graduados em DireitoPUC-SPBrasilFaculdade de DireitoCNPQ::CIENCIAS SOCIAIS APLICADAS::DIREITOInteligência ArtificialEficiênciaÉticaJudiciárioMachine LearningDeep LearningArtificial IntelligenceEfficiencyEthicsJudicialMachine LearningDeep LearningInteligência artificial no Poder Judiciário: ética e eficiência em debateinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da PUC_SPinstname:Pontifícia Universidade Católica de São Paulo (PUC-SP)instacron:PUC_SPORIGINALMarcio Vinicius Machado Ribeiro.pdfapplication/pdf1369045https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/1/Marcio%20Vinicius%20Machado%20Ribeiro.pdf3ed81f33e08374478579a8ad988b1609MD51TEXTMarcio Vinicius Machado Ribeiro.pdf.txtMarcio Vinicius Machado Ribeiro.pdf.txtExtracted texttext/plain275073https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/2/Marcio%20Vinicius%20Machado%20Ribeiro.pdf.txt1b549e6fb81f831d5203b9c50026c0dcMD52THUMBNAILMarcio Vinicius Machado Ribeiro.pdf.jpgMarcio Vinicius Machado Ribeiro.pdf.jpgGenerated Thumbnailimage/jpeg1123https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/3/Marcio%20Vinicius%20Machado%20Ribeiro.pdf.jpg62009585d1ec6440970c5903c8fbf862MD53handle/248032023-06-22 12:11:34.182oai:repositorio.pucsp.br:handle/24803Biblioteca Digital de Teses e Dissertaçõeshttps://sapientia.pucsp.br/https://sapientia.pucsp.br/oai/requestbngkatende@pucsp.br||rapassi@pucsp.bropendoar:2023-06-22T15:11:34Biblioteca Digital de Teses e Dissertações da PUC_SP - Pontifícia Universidade Católica de São Paulo (PUC-SP)false |
dc.title.pt_BR.fl_str_mv |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
title |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
spellingShingle |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate Ribeiro, Márcio Vinicius Machado CNPQ::CIENCIAS SOCIAIS APLICADAS::DIREITO Inteligência Artificial Eficiência Ética Judiciário Machine Learning Deep Learning Artificial Intelligence Efficiency Ethics Judicial Machine Learning Deep Learning |
title_short |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
title_full |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
title_fullStr |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
title_full_unstemmed |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
title_sort |
Inteligência artificial no Poder Judiciário: ética e eficiência em debate |
author |
Ribeiro, Márcio Vinicius Machado |
author_facet |
Ribeiro, Márcio Vinicius Machado |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Alvim, Marcia Cristina de Souza |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6628357185749128 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5562992895323725 |
dc.contributor.author.fl_str_mv |
Ribeiro, Márcio Vinicius Machado |
contributor_str_mv |
Alvim, Marcia Cristina de Souza |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS SOCIAIS APLICADAS::DIREITO |
topic |
CNPQ::CIENCIAS SOCIAIS APLICADAS::DIREITO Inteligência Artificial Eficiência Ética Judiciário Machine Learning Deep Learning Artificial Intelligence Efficiency Ethics Judicial Machine Learning Deep Learning |
dc.subject.por.fl_str_mv |
Inteligência Artificial Eficiência Ética Judiciário Machine Learning Deep Learning |
dc.subject.eng.fl_str_mv |
Artificial Intelligence Efficiency Ethics Judicial Machine Learning Deep Learning |
description |
Artificial intelligence (AI) has become part of our daily lives, being used in various sectors. Machines that are used for AI are capable of interacting with humans and the environment. However, most of us have little or no understanding and knowledge about how these intelligent systems work and generate results and actions that can impact our lives. The objective of this work is to show the efforts that have been made so that the legal systems that use AI can serve their users in a more agile, efficient and ethical way, reducing the time of court proceedings. Many algorithms used for machine learning cannot be analyzed or interpreted by humans, being somewhat obscure in the eyes of users. Thus, we can say that the acceptance and insertion of this technology in our lives can generate many questions because we do not understand how it works and is developed. However, we can say that artificial intelligence is a new area, despite having been around for many years, but only now that it has taken on great proportions. The objective of this research is to work on issues related to clarification, on the issue of intelligent agent reasoning, so that the final result is more reliable, efficient and ethical. We can point out that systems in this way can be audited to prevent problems and misconceptions of use, and to hold those involved in development accountable as a result of the result. In this way, passing through the understanding and acceptance of those who developed it and the customers. We show the new mechanics used in our legal environment, through the insertion of Artificial Intelligence and new technologies in the Judiciary. Bringing information about how Artificial Intelligence emerged and how information is generated to build a system closer to human reality. The challenges are great for the AI system, with new technologies and concerns when we take the legal hold to review, evaluate and give a conclusion to judgment. This work mentions about the impact of AI (Artificial Intelligence) in society and in the legal environment, I talk about the concept of Machine Learning and Deep Learning. As a result of the IA Implementation, in terms of agility in the automation of processes, and what are the benefits. With the Coronavirus pandemic, the Judiciary was imbued with the need to use technology so that its activities would not be stopped due to the imperative need for social distance. Thus, new themes emerged from this practice, i.e., ethics as a guide for legal actions, speed as a key to access to justice and efficiency as a catalyst for the use of technologies. We use Data Quantitative Research Method. We also intend to draw a parallel between legal consequentialism and automation in this environment in which Artificial Intelligence is the center of the development of Law. Our observations generated a set of guidelines for the development of the AI system |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-11-22 |
dc.date.accessioned.fl_str_mv |
2022-02-22T17:07:30Z |
dc.date.available.fl_str_mv |
2022-02-22T17:07:30Z |
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.citation.fl_str_mv |
Ribeiro, Márcio Vinicius Machado. Inteligência artificial no Poder Judiciário: ética e eficiência em debate. 2021. Dissertação (Mestrado em Direito) - Programa de Estudos Pós-Graduados em Direito da Pontifícia Universidade Católica de São Paulo, São Paulo, 2021. |
dc.identifier.uri.fl_str_mv |
https://repositorio.pucsp.br/jspui/handle/handle/24803 |
identifier_str_mv |
Ribeiro, Márcio Vinicius Machado. Inteligência artificial no Poder Judiciário: ética e eficiência em debate. 2021. Dissertação (Mestrado em Direito) - Programa de Estudos Pós-Graduados em Direito da Pontifícia Universidade Católica de São Paulo, São Paulo, 2021. |
url |
https://repositorio.pucsp.br/jspui/handle/handle/24803 |
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.publisher.none.fl_str_mv |
Pontifícia Universidade Católica de São Paulo |
dc.publisher.program.fl_str_mv |
Programa de Estudos Pós-Graduados em Direito |
dc.publisher.initials.fl_str_mv |
PUC-SP |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Faculdade de Direito |
publisher.none.fl_str_mv |
Pontifícia Universidade Católica de São Paulo |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da PUC_SP instname:Pontifícia Universidade Católica de São Paulo (PUC-SP) instacron:PUC_SP |
instname_str |
Pontifícia Universidade Católica de São Paulo (PUC-SP) |
instacron_str |
PUC_SP |
institution |
PUC_SP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da PUC_SP |
collection |
Biblioteca Digital de Teses e Dissertações da PUC_SP |
bitstream.url.fl_str_mv |
https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/1/Marcio%20Vinicius%20Machado%20Ribeiro.pdf https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/2/Marcio%20Vinicius%20Machado%20Ribeiro.pdf.txt https://repositorio.pucsp.br/xmlui/bitstream/handle/24803/3/Marcio%20Vinicius%20Machado%20Ribeiro.pdf.jpg |
bitstream.checksum.fl_str_mv |
3ed81f33e08374478579a8ad988b1609 1b549e6fb81f831d5203b9c50026c0dc 62009585d1ec6440970c5903c8fbf862 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da PUC_SP - Pontifícia Universidade Católica de São Paulo (PUC-SP) |
repository.mail.fl_str_mv |
bngkatende@pucsp.br||rapassi@pucsp.br |
_version_ |
1809277788560031744 |