Preprint / Version 1

To Guide or Regulate? An Analysis of Brazilian Public University Documents on Academic Generative AI Use

##article.authors##

  • Lynn Rosalina Gama Alves Federal University of Bahia image/svg+xml https://orcid.org/0000-0003-3688-3506
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Project Administration
    • Resources
    • Supervision
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
    • Software
  • William de Souza Santos Instituto Federal de Educação Ciência e Tecnologia da Paraíba image/svg+xml https://orcid.org/0000-0002-8598-9756
    • Data Curation
    • Methodology
    • Validation
    • Visualization
    • Writing – Review & Editing
    • Resources
    • Investigation
    • Project Administration
    • Software
    • Supervision

DOI:

https://doi.org/10.1590/SciELOPreprints.16234

Keywords:

Generative Artificial Intelligence, Public Universities, Regulation, Transparency

Abstract

In recent years, research and development in Artificial Intelligence (AI) have taken on new configurations, especially after the launch of ChatGPT in October 2022. In the context of universities and research institutes, there is growing concern about the mediation of AI and issues related to ethics, authorship, plagiarism, costs, and the dissemination of research results. In this scenario, this article aims to analyze official documents, such as ordinances, resolutions, and guidance documents produced by public Higher Education Institutions in Brazil, seeking to understand how aspects related to transparency, data protection, authorship, rights, and biases are addressed in the documents produced by the 27 institutions analyzed. The research question guiding this study is: how have Brazilian public universities guided and/or regulated the use of generative artificial intelligence in the academic context? Based on a qualitative, bibliographic, and exploratory approach, the analysis indicated that transparency constitutes a central requirement in the documents, as does the concern with biases, understood as dimensions related to the mitigation of prejudice and algorithmic discrimination. It is concluded that the discussion on the use of generative artificial intelligence in Brazilian institutions is still occurring timidly, and that the existing documents are characterized by two main dimensions: one normative-regulatory and the other guidance-formative

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Author Biographies

Lynn Rosalina Gama Alves, Federal University of Bahia

Lynn Rosalina Gama Alves, Professora e pesquisadora do Instituto de Humanidades, Artes e Ciência Professor Milton Santos, vinculada ao programa de Pós-graduação em Ensino, Filosofia e História das Ciências, Coordenadora da Rede de Pesquisa Comunidades Virtuais (UFBA), com pós-doutorado em Crianças, adolescentes, proteção e segurança de dados pela Universidade de Barcelona com bolsa Capes-Print, bolsista de produtividade em Desenvolvimento Tecnológico 1ª – CNPq – E-mail: lynnalves@gmail.com e lynn@ufba.br

Orcid: orcid.org/0000-0003-3688-3506

URL www.comunidadesvirtuais.pro.br 
Endereço para acessar este CV: http://lattes.cnpq.br/2226174429595901 

 

 

William de Souza Santos, Instituto Federal de Educação Ciência e Tecnologia da Paraíba

William de Souza Santos

Instituto federal da Paraíba

Pós-Doutor em Ensino, Filosofia e História das Ciências - UFBA

Doutor e Mestre em Modelagem Computacional de Sistemas Cognitivos de Aprendizagem - Senai/Cimatec

Especialista em Educação e Comunicação em Interfaces Digitais

Especialista em Metodologia do Ensino da Matemática

Licenciado em Matemática

Site: http://www.reforcovirtualdematematica.com.br/

Lattes: http://lattes.cnpq.br/2735274515992218

ORCID identifier: https://orcid.org/0000-0002-8598-9756

E-mail: william.tenor@gmail.com

Posted

06/03/2026

How to Cite

To Guide or Regulate? An Analysis of Brazilian Public University Documents on Academic Generative AI Use. (2026). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.16234

Section

Human Sciences

Plaudit

Data statement

  • The research data is contained in the manuscript