A guide for the ethical and responsible use of generative artificial intelligence in academia.
DOI:
https://doi.org/10.5007/2175-8077.2025.e109536Keywords:
Generative Artificial Intelligence, Ethics in Research, Scientific Integrity, Human Authorship, Academic GovernanceAbstract
Objective: To promote a culture of scientific integrity and transparency in the use of generative technologies in academic research, providing a theoretical and practical framework for researchers, faculty, and higher education institutions.
Methodology: The document is based on ethical, epistemological, and legal principles, structured according to international guidelines and the editorial policies of major scientific publications (Elsevier, Springer Nature, Taylor & Francis, SAGE, and Emerald Publishing). It establishes criteria for acceptable, sensitive, and unacceptable use of GenIA, clearly defining boundaries between technical assistance and intellectual authorship.
Originality/Relevance: The guide stands out by balancing technological innovation and epistemic responsibility, encouraging the use of GenIA as a tool to support research and not as a substitute for human reflection. Its relevance lies in addressing a critical gap in the contemporary academic context: the need for clear ethical guidelines in the face of the growing adoption of generative technologies.
Results: Proposes pedagogical and formative practices for teachers and students focused on critical digital literacy and the development of ethical and cognitive competencies. Offers institutional transparency protocols, digital maturity indicators, and guidelines for reviewers and evaluators.
Theoretical Contributions: Consolidates an ethical governance model for the use of AI in science, guided by integrity, shared responsibility, and the valuing of human authorship as the non-negotiable core of academic production.Keywords: Generative Artificial Intelligence; Research Ethics; Scientific Integrity; Human Authorship; Academic Governance.
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