Guidelines for the use of AI

RCA Guidelines for the Use of AI

In alignment with the editorial position presented in this issue, the Revista de Ciências da Administração (RCA) establishes the following guidelines to ensure that the use of artificial intelligence (AI) in scientific production and editorial processes remains consistent with principles of scientific integrity, authorial responsibility, and procedural transparency.

These guidelines are grounded in the understanding that AI constitutes a supportive and assistive practice, whose validity depends on active human supervision, critical evaluation, and contextualized interpretation, as outlined in the three-dimensional transparency model adopted by RCA.

Guidelines for RCA
a) AI cannot be listed as an author;
b) The use of AI must be explicitly disclosed;
c) Substantive applications must be described in the methods section;
d) Tool, version, and purpose must be specified;
e) Human validation must be explicitly stated;
f) Reviewers and editors may NOT use AI for article evaluation tasks or tasks that utilize article content; AI may only be used for auxiliary tasks, such as improving the writing of the review or email messages;
g) The use of AI in the editorial process must be transparent and, when applicable, communicated to the Editor-in-Chief through the “Declaration of AI Use by Reviewers” ??(mandatory document from 2026);
h) The insertion of hidden prompts or instructions in manuscripts or reviews is prohibited;
i) The submission of content generated by AI as if it were authored by humans is prohibited, with authors being fully responsible for the final content, including any plagiarism or inaccuracies generated by AI;
j) The insertion of third-party research projects into AI tools for the preparation of scientific reviews is prohibited;
k) To be fully responsible for the final content of the research, including any plagiarism or inaccuracies generated by IA.

These guidelines operationalize transparency as a structuring mechanism of scientific integrity, enabling the traceability of methodological decisions and strengthening trust among authors, reviewers, and readers.

Reference

Cardoso, A. S., & Gammarano, I. D. L. (2025). Guia para o uso ético e responsável da inteligência artificial generativa no âmbito acadêmico. Revista de Ciências da Administração, 27(67). https://doi.org/10.5007/2175-8077.2025.e109536

CNPq. (2026). Portaria nº 2.664/2026: Estabelece a política de integridade na atividade científica do Conselho Nacional de Desenvolvimento Científico e Tecnológico. Ministério da Ciência, Tecnologia e Inovação. http://www.cnpq.br/web/guest/view/-/journal_content/56_INSTANCE_0oED/10157/23142775