Behind artificial intelligence: an analysis of the epistemological bases of machine learning

Detalhes bibliográficos
Autor(a) principal: Arão, Cristian
Data de Publicação: 2024
Tipo de documento: Artigo
Idioma: por
Título da fonte: Trans/Form/Ação (Online)
Texto Completo: https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196
Resumo: This article aims to critically analyze the epistemological foundations of artificial intelligence (AI). By examining works that explain how this technology works, it is understood that its epistemological basis is made up of the inductive method and statistics based on a mathematization of reality. It is these elements that allow machines to learn by recognizing patterns and to make predictions and provide answers. However, these foundations have limitations and problems that have been discussed by philosophers throughout history. In this article we will present how induction and mathematization function as the epistemological basis of artificial intelligence and how some of the limitations of this technology can be explained through the weaknesses of the methods that support it.
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spelling Behind artificial intelligence: an analysis of the epistemological bases of machine learningPor trás da inteligência artificial: uma análise das bases epistemológicas do aprendizado de máquinaInteligência artificialMétodo indutivoMatematizaçãoArtificial intelligenceInductive methodMathematizationThis article aims to critically analyze the epistemological foundations of artificial intelligence (AI). By examining works that explain how this technology works, it is understood that its epistemological basis is made up of the inductive method and statistics based on a mathematization of reality. It is these elements that allow machines to learn by recognizing patterns and to make predictions and provide answers. However, these foundations have limitations and problems that have been discussed by philosophers throughout history. In this article we will present how induction and mathematization function as the epistemological basis of artificial intelligence and how some of the limitations of this technology can be explained through the weaknesses of the methods that support it.O presente artigo visa a analisar, de forma crítica, os fundamentos epistemológicos da inteligência artificial. Com base no exame de obras que explicam o funcionamento dessa tecnologia, compreende-se que a sua base epistemológica é composta pelo método indutivo e pela estatística apoiada em uma matematização da realidade. São esses elementos que permitem que as máquinas aprendam através do reconhecimento de padrões e possam fazer previsões e oferecer respostas. No entanto, esses fundamentos apresentam limitações e problemas, os quais foram discutidos por filósofos, ao longo da história. Neste artigo, será demonstrado como a indução e a matematização funcionam como base epistemológica da inteligência artificial e como algumas das limitações dessa tecnologia podem ser explicadas através das debilidades dos métodos que a sustentam.Faculdade de Filosofia e Ciências2024-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlapplication/x-mobipocket-ebookapplication/epub+ziphttps://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Latest publications (Continuous flow); e02400163TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Publicaciones más recientes (Flujo continuo); e02400163TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Publications les plus récentes (Flux continu); e02400163TRANS/FORM/AÇÃO: Revista de Filosofia; V. 47 (2024): Pubblicazioni più recenti (Flusso continuo); e02400163TRANS/FORM/AÇÃO: Revista de Filosofia da Unesp; v. 47 (2024): Publicações mais recentes (Fluxo Contínuo); e024001631980-539X0101-3173reponame:Trans/Form/Ação (Online)instname:Universidade Estadual Paulista (UNESP)instacron:UNESPporhttps://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16403https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16404https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16405https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16406Copyright (c) 2024 TRANS/FORM/AÇÃO: Revista de Filosofia da Unesphttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessArão, Cristian2024-05-11T15:30:48Zoai:ojs.revistas.marilia.unesp.br:article/15196Revistahttps://revistas.marilia.unesp.br/index.php/transformacao/PUBhttps://old.scielo.br/oai/scielo-oai.phptransformacao@marilia.unesp.br1980-539X0101-3173opendoar:2024-05-11T15:30:48Trans/Form/Ação (Online) - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Behind artificial intelligence: an analysis of the epistemological bases of machine learning
Por trás da inteligência artificial: uma análise das bases epistemológicas do aprendizado de máquina
title Behind artificial intelligence: an analysis of the epistemological bases of machine learning
spellingShingle Behind artificial intelligence: an analysis of the epistemological bases of machine learning
Arão, Cristian
Inteligência artificial
Método indutivo
Matematização
Artificial intelligence
Inductive method
Mathematization
title_short Behind artificial intelligence: an analysis of the epistemological bases of machine learning
title_full Behind artificial intelligence: an analysis of the epistemological bases of machine learning
title_fullStr Behind artificial intelligence: an analysis of the epistemological bases of machine learning
title_full_unstemmed Behind artificial intelligence: an analysis of the epistemological bases of machine learning
title_sort Behind artificial intelligence: an analysis of the epistemological bases of machine learning
author Arão, Cristian
author_facet Arão, Cristian
author_role author
dc.contributor.author.fl_str_mv Arão, Cristian
dc.subject.por.fl_str_mv Inteligência artificial
Método indutivo
Matematização
Artificial intelligence
Inductive method
Mathematization
topic Inteligência artificial
Método indutivo
Matematização
Artificial intelligence
Inductive method
Mathematization
description This article aims to critically analyze the epistemological foundations of artificial intelligence (AI). By examining works that explain how this technology works, it is understood that its epistemological basis is made up of the inductive method and statistics based on a mathematization of reality. It is these elements that allow machines to learn by recognizing patterns and to make predictions and provide answers. However, these foundations have limitations and problems that have been discussed by philosophers throughout history. In this article we will present how induction and mathematization function as the epistemological basis of artificial intelligence and how some of the limitations of this technology can be explained through the weaknesses of the methods that support it.
publishDate 2024
dc.date.none.fl_str_mv 2024-05-01
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://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196
url https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16403
https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16404
https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16405
https://revistas.marilia.unesp.br/index.php/transformacao/article/view/15196/16406
dc.rights.driver.fl_str_mv Copyright (c) 2024 TRANS/FORM/AÇÃO: Revista de Filosofia da Unesp
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 TRANS/FORM/AÇÃO: Revista de Filosofia da Unesp
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
application/x-mobipocket-ebook
application/epub+zip
dc.publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
dc.source.none.fl_str_mv TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Latest publications (Continuous flow); e02400163
TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Publicaciones más recientes (Flujo continuo); e02400163
TRANS/FORM/AÇÃO: Revista de Filosofia; Vol. 47 (2024): Publications les plus récentes (Flux continu); e02400163
TRANS/FORM/AÇÃO: Revista de Filosofia; V. 47 (2024): Pubblicazioni più recenti (Flusso continuo); e02400163
TRANS/FORM/AÇÃO: Revista de Filosofia da Unesp; v. 47 (2024): Publicações mais recentes (Fluxo Contínuo); e02400163
1980-539X
0101-3173
reponame:Trans/Form/Ação (Online)
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Trans/Form/Ação (Online)
collection Trans/Form/Ação (Online)
repository.name.fl_str_mv Trans/Form/Ação (Online) - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv transformacao@marilia.unesp.br
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