University Governance of Generative Artificial Intelligence: a comparative analysis of Institutional Policies

Authors

DOI:

https://doi.org/10.18256/2238-0604.2026.v22i1.5415

Keywords:

Institutional Policies; University; Generative Artificial Intelligence; Governance.

Abstract

This article compares institutional policies on the use of generative artificial intelligence in university activities. It examines how Brazilian and international universities have established permissions, restrictions, and duties concerning these tools in teaching, learning, assessment, and research. The study adopts a qualitative, exploratory approach, with inductive reasoning and a comparative procedure, supported by bibliographic and documentary research. Official documents from five Brazilian and five international universities were examined. The institutions were purposively selected based on their academic standing, the availability of sources, and the diversity of institutional instruments. The analysis identified common ground concerning human responsibility, transparency, and content verification, alongside differences in instructor autonomy, scope, and the binding force of the documents. The findings indicate a predominance of conditional permissions and specific prohibitions. The study concludes that university governance of these tools requires clear rules, data protection, education and training for the academic community, and investigation procedures that safeguard the rights of those involved.

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Author Biographies

  • Caio Augusto Souza Lara, Dom Helder

    Doutor em Direito pela Faculdade de Direito da Universidade Federal de Minas Gerais (UFMG). Pró-Reitor de Pesquisa do Centro Universitário Dom Helder. Professor do Programa de Pós-graduação em Direito Ambiental e Desenvolvimento Sustentável do Centro Universitário Dom Helder. 

  • Tais Mallmann Ramos, Mackenzie

    Doutora em Direito Político e Econômico pela Universidade Presbiteriana Mackenzie (UPM). Professora e Pesquisadora da Faculdade de Direito da Universidade Presbiteriana Mackenzie (UPM). Consultora de Projetos na Secretaria de Inovação, Ciência e Tecnologia do Estado do Rio Grande do Sul (SICT/RS). Associada da Rede Brasileira de Direito e Políticas Públicas (RedeDPP). 

  • Valter Moura do Carmo, UFT

    Doutor em Direito pela Universidade Federal de Santa Catarina (UFSC). Professor do Programa de Pós-Graduação em Prestação Jurisdicional e Direitos Humanos da Escola Superior da Magistratura Tocantinense (ESMAT), em associação com a Universidade Federal do Tocantins (UFT). Professor da Faculdade Dom Adélio Tomasin (FADAT) e do Centro Universitário Alfredo Nasser (UNIFAN). 

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Published

2026-11-12

Issue

Vol. 22 No. 1 (2026): January-April

Section

Article

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Copyright (c) 2026 Caio Augusto Souza Lara, Tais Mallmann Ramos, Valter Moura do Carmo

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How to Cite

SOUZA LARA, Caio Augusto; MALLMANN RAMOS, Tais; MOURA DO CARMO, Valter. University Governance of Generative Artificial Intelligence: a comparative analysis of Institutional Policies. Revista Brasileira de Direito, Passo Fundo, RS, Brasil, v. 22, n. 1, p. e5415, 2026. DOI: 10.18256/2238-0604.2026.v22i1.5415. Disponível em: https://seer.atitus.edu.br/index.php/revistadedireito/article/view/5415. Acesso em: 12 nov. 2026.