Governança Universitária da Inteligência Artificial Generativa

Análise Comparativa de Diretrizes em Universidades de Elite Global

Autores

DOI:

https://doi.org/10.25749/sis.44224

Palavras-chave:

inteligência artificial generativa, governança universitária, políticas institucionais, ensino superior, ética digital

Resumo

Este estudo analisa comparativamente as diretrizes institucionais de dez universidades de elite, selecionadas com base no Times Higher Education (THE) World University Rankings 2025, quanto ao uso da inteligência artificial (IA) generativa. A investigação adota uma abordagem qualitativa, de natureza descritivo-analítica, fundamentada na análise documental sistemática de 87 documentos institucionais, organizados em quatro eixos: ensino, uso por estudantes, segurança da informação e governança/ética. Cada eixo foi codificado segundo uma escala de robustez em três níveis, o que permitiu identificar padrões, lacunas e inovações nas respostas institucionais. Os resultados indicam a consolidação de um modelo normativo-formativo que articula princípios internacionais, como justiça algorítmica, transparência e responsabilidade, e reposiciona as universidades como protagonistas na formulação ética e estratégica do uso da IA generativa. O estudo contribui para o campo da governança universitária da IA ao oferecer uma sistematização crítica das práticas vigentes e subsídios para instituições em processo de estruturação de suas políticas.

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Biografias Autor

Camila Lopes Ferreira, Departamento de Engenharia de Produção, Universidade Tecnológica Federal do Paraná, Brasil

Ph.D. candidate in Science and Technology Teaching in the Graduate Program in Science and Technology Teaching at the Federal University of Technology – Paraná (UTFPR). Master in Production Engineering from the Graduate Program in Production Engineering (PPGEP) at UTFPR. Faculty member at the Ponta Grossa Campus of UTFPR. Editor of the Brazilian Journal of Quality of Life (RBQV).

Alessandra Dutra, Departamento de Ciências Humanas, Universidade Tecnológica Federal do Paraná, Brasil

Graduated in English Language and Literatures from the State University of Londrina (UEL), Master in Language Studies from UEL, and PhD in Linguistics and Portuguese Language from São Paulo State University “Júlio de Mesquita Filho” (UNESP). Permanent professor in the Graduate Program in Science and Technology Teaching (PPGECT), Ponta Grossa campus.

Sani de Carvalho Rutz da Silva, Departamento Académico de Matemática, Programa de Pós-Graduação em Ensino de Ciência e Tecnologia, Universidade Tecnológica Federal do Paraná, Brasil

Graduated in Mathematics from the State University of Ponta Grossa (UEPG), Master in Applied Mathematics, and PhD in Materials Science from the Federal University of Rio Grande do Sul (UFRGS). Permanent professor in the Graduate Program in Science and Technology Teaching (PPGECT), in the Professional Master’s and Academic PhD courses. Editor-in-Chief of the Brazilian Journal of Science and Technology Teaching (RBECT).

José Roberto Herrera Cantorani, Departamento de Educação Física, Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Brasil

Graduated in Physical Education from the State University of Ponta Grossa (UEPG), Master in Applied Social Sciences from UEPG, and PhD in Physical Education from the State University of Campinas (UNICAMP), with a postdoctoral fellowship in Science and Technology Teaching at the Federal University of Technology – Paraná (UTFPR). Researcher in research groups on quality of life, quality of work life, and human resources management for the productive environment. Professor at the Federal Institute of Education, Science and Technology of São Paulo (IFSP) and at the Graduate Program in Science and Technology Teaching (PPGECT/UTFPR).

Claudia Tania Picinin, Departamento de Engenharia de Produção, Universidade Tecnológica Federal do Paraná, Brasil

Graduate in Business Administration with a specialization in Marketing, MBA in Business and Logistics Management from the Federal University of Technology – Paraná (UTFPR) – Pato Branco Campus, specialist in Industrial Management – Knowledge and Innovation, and Master in Production Engineering from the Federal University of Technology – Paraná (UTFPR) – Ponta Grossa Campus. Ph.D. in Business Administration from Universidade Positivo. Professor in the Department of Production Engineering and in the Graduate Program in Production Engineering at UTFPR – Ponta Grossa.

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Publicado

2026-06-30

Edição

Vol. 14 N.º 2 (2026): Competências Digitais Docentes na Era da Inteligência Artificial: Reconfigurações da Prática Pedagógica

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