Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Vitor Eduardo Lacerda de Araújo
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/1843/44791
Resumo: Human beings call themselves homo sapiens because they understand that their intelligence is the differential for other living beings. For thousands of years, individuals have tried to understand the functioning of the human brain, that is, how a handful of organic matter, governed by laws of physics and chemistry, can perceive, understand nature, develop complex communication and language, predict events and manipulate a world much bigger and more complicated than its very essence. In the field of artificial intelligence, we find entities increasingly able to mimic the behavior of man, with significant evolution in diverse human competencies and cognitive abilities. In other words, with the sudden advance of computer science, man approaches the construction of machines endowed with rationality and capable of acting in a completely autonomous way, including attributes such as problem solving, perception, learning, creativity, action and reaction. Through data analysis and the consequent automation of the analytical models construction, as well as the identification of patterns, computerized systems are able to make decisions, such as the human being, with relative impossibility of predictability of the results arising from such conduct. Thus, considering machine learning based on human experiences, the problem arises about the consequences of artificial intelligence choices, that is, considering that human beings are constantly subject to crimes, there is a strong propensity for intelligent machines to commit them. In this sense, it can be mentioned that technologies recently introduced in human daily life, such as chatbots, unmanned aerial vehicles (UAVs) and autonomous cars, are able and already offend protected legal assets, such as honor, property and even life. Therefore, the study aims to investigate issues related to the causal relationships of the choices and actions of computerized artificial neural networks, especially those that constitute autonomous vehicles, aiming to investigate the consequences of the adoption of anti-legal conduct that result in criminal offenses caused by artificial intelligence, in the light of the theory of criminal responsibility.
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spelling Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminalConsequences of artificial intelligence in criminal law: autonomous vehicles and criminal liabilityDireito penalResponsabilidade penalInteligência artificialVeículos autônomosInteligência artificialVeículos autônomosResponsabilidade penalHuman beings call themselves homo sapiens because they understand that their intelligence is the differential for other living beings. For thousands of years, individuals have tried to understand the functioning of the human brain, that is, how a handful of organic matter, governed by laws of physics and chemistry, can perceive, understand nature, develop complex communication and language, predict events and manipulate a world much bigger and more complicated than its very essence. In the field of artificial intelligence, we find entities increasingly able to mimic the behavior of man, with significant evolution in diverse human competencies and cognitive abilities. In other words, with the sudden advance of computer science, man approaches the construction of machines endowed with rationality and capable of acting in a completely autonomous way, including attributes such as problem solving, perception, learning, creativity, action and reaction. Through data analysis and the consequent automation of the analytical models construction, as well as the identification of patterns, computerized systems are able to make decisions, such as the human being, with relative impossibility of predictability of the results arising from such conduct. Thus, considering machine learning based on human experiences, the problem arises about the consequences of artificial intelligence choices, that is, considering that human beings are constantly subject to crimes, there is a strong propensity for intelligent machines to commit them. In this sense, it can be mentioned that technologies recently introduced in human daily life, such as chatbots, unmanned aerial vehicles (UAVs) and autonomous cars, are able and already offend protected legal assets, such as honor, property and even life. Therefore, the study aims to investigate issues related to the causal relationships of the choices and actions of computerized artificial neural networks, especially those that constitute autonomous vehicles, aiming to investigate the consequences of the adoption of anti-legal conduct that result in criminal offenses caused by artificial intelligence, in the light of the theory of criminal responsibility.Universidade Federal de Minas Gerais2022-09-01T11:27:32Z2025-09-08T23:36:54Z2022-09-01T11:27:32Z2021-08-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/1843/44791porhttp://creativecommons.org/licenses/by-nc-nd/3.0/pt/info:eu-repo/semantics/openAccessVitor Eduardo Lacerda de Araújoreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-08T23:36:54Zoai:repositorio.ufmg.br:1843/44791Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-08T23:36:54Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
Consequences of artificial intelligence in criminal law: autonomous vehicles and criminal liability
title Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
spellingShingle Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
Vitor Eduardo Lacerda de Araújo
Direito penal
Responsabilidade penal
Inteligência artificial
Veículos autônomos
Inteligência artificial
Veículos autônomos
Responsabilidade penal
title_short Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
title_full Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
title_fullStr Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
title_full_unstemmed Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
title_sort Reflexos da inteligência artificial no direito penal: veículos autônomos e a responsabilidade criminal
author Vitor Eduardo Lacerda de Araújo
author_facet Vitor Eduardo Lacerda de Araújo
author_role author
dc.contributor.author.fl_str_mv Vitor Eduardo Lacerda de Araújo
dc.subject.por.fl_str_mv Direito penal
Responsabilidade penal
Inteligência artificial
Veículos autônomos
Inteligência artificial
Veículos autônomos
Responsabilidade penal
topic Direito penal
Responsabilidade penal
Inteligência artificial
Veículos autônomos
Inteligência artificial
Veículos autônomos
Responsabilidade penal
description Human beings call themselves homo sapiens because they understand that their intelligence is the differential for other living beings. For thousands of years, individuals have tried to understand the functioning of the human brain, that is, how a handful of organic matter, governed by laws of physics and chemistry, can perceive, understand nature, develop complex communication and language, predict events and manipulate a world much bigger and more complicated than its very essence. In the field of artificial intelligence, we find entities increasingly able to mimic the behavior of man, with significant evolution in diverse human competencies and cognitive abilities. In other words, with the sudden advance of computer science, man approaches the construction of machines endowed with rationality and capable of acting in a completely autonomous way, including attributes such as problem solving, perception, learning, creativity, action and reaction. Through data analysis and the consequent automation of the analytical models construction, as well as the identification of patterns, computerized systems are able to make decisions, such as the human being, with relative impossibility of predictability of the results arising from such conduct. Thus, considering machine learning based on human experiences, the problem arises about the consequences of artificial intelligence choices, that is, considering that human beings are constantly subject to crimes, there is a strong propensity for intelligent machines to commit them. In this sense, it can be mentioned that technologies recently introduced in human daily life, such as chatbots, unmanned aerial vehicles (UAVs) and autonomous cars, are able and already offend protected legal assets, such as honor, property and even life. Therefore, the study aims to investigate issues related to the causal relationships of the choices and actions of computerized artificial neural networks, especially those that constitute autonomous vehicles, aiming to investigate the consequences of the adoption of anti-legal conduct that result in criminal offenses caused by artificial intelligence, in the light of the theory of criminal responsibility.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-19
2022-09-01T11:27:32Z
2022-09-01T11:27:32Z
2025-09-08T23:36:54Z
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url https://hdl.handle.net/1843/44791
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
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