Resumen

HEREDIA PEREZ, Grimaldo; CHAVEZ AGUILAR, Vilma Celia; TORRES MENDOZA, Leydy  y  DIAZ CALDERON, Ricardo Rafael. Artificial intelligence in scientific research: a triennial systematic review. Revista InveCom [online]. 2026, vol.6, n.3, e603010.  Epub 30-Oct-2025. ISSN 2739-0063.  https://doi.org/10.5281/zenodo.17238020.

This systematic review article aimed to analyze the impact of artificial intelligence (AI) on scientific research with an emphasis on university education and its ethical implications through its application. The research adopted a qualitative approach. To this end, a systematic review was conducted using the PRISMA approach of 22 open-access articles published in the SciELO and Dialnet databases, selected from a population of 120 scientific articles. The findings show that AI significantly enhances scientific research, highlighting the ethical care that teachers and students must take when using AI in their research work, which should not limit their ability to summarize and think critically, and cognitive dependence on the researcher should be avoided. In conclusion, AI is a powerful tool in scientific research because, among other things, it facilitates the search and analysis of metadata, allows for the automation of tasks, and helps to discover new patterns. However, it is important to address the ethical challenges and limitations associated with its use in order to maximize its potential.

Palabras clave : artificial intelligence; research; ethics.

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