Artificial intelligence in education: the challenges of ChatGPT

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Karoline Santos
Data de Publicação: 2023
Outros Autores: Rodrigues, Olira Saraiva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Texto livre
Texto Completo: https://periodicos.ufmg.br/index.php/textolivre/article/view/45997
Resumo: To discuss the impacts of the diffusion of access to language model platforms in education, this study points to methodological and substantive issues around generative Artificial Intelligence (AI) for the field of digital humanities, which has concerned educators, mainly in Higher Education, in situations such as plagiarism, critical development and creativity in contemporary textuality. Thus, the study aims to reflect, based on Andrew Feenberg's Critical Theory of Technology, how AI can be enhanced in the face of the common aversive embarrassment that requires changes. Methodologically, the research is of a qualitative, exploratory nature and the study takes advantage of a bibliographical research, whose inherent contributions to the conception of AI are based on the productions of Kaufman (2022) and Santaella (2021, 2023), which serve as a premise for to relate AI problematizations with Feenberg (2003, 2004) Critical Theory of Technology. Data point to two aspects: the first one that places generative AI as an event to be inhibited by educational institutions, due to the lack of ethical regulations; and the other that suggests to enhance the use of these products with a critical purpose, in the perspective of increased intelligence. In short, the study points out that generative AI is a field that lacks regulations, but that can be conducted collectively, mainly within Higher Education Institutions, which have the potential to discuss these issues critically and with the possibility of social action effect, to consider technology a way of life.
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spelling Artificial intelligence in education: the challenges of ChatGPTA inteligência artificial na educação: os desafios do ChatGPTInteligência aumentadaChatbotsFilosofia da tecnologiaChatGPTArtificial intelligenceChatbotsIncreased intelligencePhilosophy of technologyChatGPTTo discuss the impacts of the diffusion of access to language model platforms in education, this study points to methodological and substantive issues around generative Artificial Intelligence (AI) for the field of digital humanities, which has concerned educators, mainly in Higher Education, in situations such as plagiarism, critical development and creativity in contemporary textuality. Thus, the study aims to reflect, based on Andrew Feenberg's Critical Theory of Technology, how AI can be enhanced in the face of the common aversive embarrassment that requires changes. Methodologically, the research is of a qualitative, exploratory nature and the study takes advantage of a bibliographical research, whose inherent contributions to the conception of AI are based on the productions of Kaufman (2022) and Santaella (2021, 2023), which serve as a premise for to relate AI problematizations with Feenberg (2003, 2004) Critical Theory of Technology. Data point to two aspects: the first one that places generative AI as an event to be inhibited by educational institutions, due to the lack of ethical regulations; and the other that suggests to enhance the use of these products with a critical purpose, in the perspective of increased intelligence. In short, the study points out that generative AI is a field that lacks regulations, but that can be conducted collectively, mainly within Higher Education Institutions, which have the potential to discuss these issues critically and with the possibility of social action effect, to consider technology a way of life.Para discutir os impactos da difusão do acesso às plataformas de modelos de linguagem na educação, este estudo aponta para questões metodológicas e substantivas em torno da Inteligência Artificial (IA) generativa para o campo de humanidades digitais, que tem preocupado educadores, principalmente do Ensino Superior, em situações como plágio, desenvolvimento crítico e criatividade na textualidade contemporânea. Assim, o estudo tem como objetivo refletir, com base na Teoria Crítica da Tecnologia de Andrew Feenberg, como a IA pode ser potencializada frente ao embaraço aversivo comum ao que exige mudanças. Metodologicamente, a pesquisa é de natureza qualitativa, exploratória e o estudo apropria-se de uma pesquisa bibliográfica, cujas contribuições inerentes à concepção de IA têm base nas produções de Kaufman (2022) e Santaella (2021, 2023), que servem como premissa para relacionar as problematizações da IA com a Teoria Crítica da Tecnologia de Feenberg (2003, 2004). Dados apontam para duas vertentes: a primeira que situa a IA generativa como evento a ser inibido das instituições de ensino, devido à falta de regulamentações éticas, e outra que orienta potencializar o uso desses produtos com finalidade crítica, na perspectiva de inteligência aumentada. Em suma, o estudo aponta que a IA do tipo generativa é um campo que carece de regulamentações, mas que pode ser conduzida de maneira coletiva, principalmente dentro das Instituições de Ensino Superior, que têm o potencial de discutir essas questões de maneira crítica e com possibilidade de efeito de ação social, a considerar a tecnologia um estilo de vida.Universidade Federal de Minas Gerais2023-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos paresapplication/pdfhttps://periodicos.ufmg.br/index.php/textolivre/article/view/4599710.1590/1983-3652.2023.45997Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997Texto Livre; v. 16 (2023): Texto Livre: Linguagem e Tecnologia; e459971983-3652reponame:Texto livreinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://periodicos.ufmg.br/index.php/textolivre/article/view/45997/38833Copyright (c) 2023 Karoline Santos Rodrigues, Olira Saraiva Rodrigueshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRodrigues, Karoline SantosRodrigues, Olira Saraiva2024-01-08T13:17:12Zoai:periodicos.ufmg.br:article/45997Revistahttp://www.periodicos.letras.ufmg.br/index.php/textolivrePUBhttps://periodicos.ufmg.br/index.php/textolivre/oairevistatextolivre@letras.ufmg.br1983-36521983-3652opendoar:2024-01-08T13:17:12Texto livre - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Artificial intelligence in education: the challenges of ChatGPT
A inteligência artificial na educação: os desafios do ChatGPT
title Artificial intelligence in education: the challenges of ChatGPT
spellingShingle Artificial intelligence in education: the challenges of ChatGPT
Rodrigues, Karoline Santos
Inteligência aumentada
Chatbots
Filosofia da tecnologia
ChatGPT
Artificial intelligence
Chatbots
Increased intelligence
Philosophy of technology
ChatGPT
title_short Artificial intelligence in education: the challenges of ChatGPT
title_full Artificial intelligence in education: the challenges of ChatGPT
title_fullStr Artificial intelligence in education: the challenges of ChatGPT
title_full_unstemmed Artificial intelligence in education: the challenges of ChatGPT
title_sort Artificial intelligence in education: the challenges of ChatGPT
author Rodrigues, Karoline Santos
author_facet Rodrigues, Karoline Santos
Rodrigues, Olira Saraiva
author_role author
author2 Rodrigues, Olira Saraiva
author2_role author
dc.contributor.author.fl_str_mv Rodrigues, Karoline Santos
Rodrigues, Olira Saraiva
dc.subject.por.fl_str_mv Inteligência aumentada
Chatbots
Filosofia da tecnologia
ChatGPT
Artificial intelligence
Chatbots
Increased intelligence
Philosophy of technology
ChatGPT
topic Inteligência aumentada
Chatbots
Filosofia da tecnologia
ChatGPT
Artificial intelligence
Chatbots
Increased intelligence
Philosophy of technology
ChatGPT
description To discuss the impacts of the diffusion of access to language model platforms in education, this study points to methodological and substantive issues around generative Artificial Intelligence (AI) for the field of digital humanities, which has concerned educators, mainly in Higher Education, in situations such as plagiarism, critical development and creativity in contemporary textuality. Thus, the study aims to reflect, based on Andrew Feenberg's Critical Theory of Technology, how AI can be enhanced in the face of the common aversive embarrassment that requires changes. Methodologically, the research is of a qualitative, exploratory nature and the study takes advantage of a bibliographical research, whose inherent contributions to the conception of AI are based on the productions of Kaufman (2022) and Santaella (2021, 2023), which serve as a premise for to relate AI problematizations with Feenberg (2003, 2004) Critical Theory of Technology. Data point to two aspects: the first one that places generative AI as an event to be inhibited by educational institutions, due to the lack of ethical regulations; and the other that suggests to enhance the use of these products with a critical purpose, in the perspective of increased intelligence. In short, the study points out that generative AI is a field that lacks regulations, but that can be conducted collectively, mainly within Higher Education Institutions, which have the potential to discuss these issues critically and with the possibility of social action effect, to consider technology a way of life.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufmg.br/index.php/textolivre/article/view/45997
10.1590/1983-3652.2023.45997
url https://periodicos.ufmg.br/index.php/textolivre/article/view/45997
identifier_str_mv 10.1590/1983-3652.2023.45997
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufmg.br/index.php/textolivre/article/view/45997/38833
dc.rights.driver.fl_str_mv Copyright (c) 2023 Karoline Santos Rodrigues, Olira Saraiva Rodrigues
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Karoline Santos Rodrigues, Olira Saraiva Rodrigues
https://creativecommons.org/licenses/by/4.0
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 Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997
Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997
Texto Livre; Vol. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997
Texto Livre; v. 16 (2023): Texto Livre: Linguagem e Tecnologia; e45997
1983-3652
reponame:Texto livre
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Texto livre
collection Texto livre
repository.name.fl_str_mv Texto livre - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv revistatextolivre@letras.ufmg.br
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