La Inteligencia Artificial en la ciencia: aliada o desafío ético

The emergence of Artificial Intelligence (AI) in the scientific domain has transformed the ways in which knowledge is produced, analyzed, and communicated. This editorial reflects on the opportunities and ethical challenges posed by its integration into academic research. It highlights the benefits of AI in fields such as medicine, social sciences, and education, as well as its ability to optimize analytical and predictive processes. However, it also addresses the risks associated with automated authorship, algorithmic opacity, bias reproduction, and the uncritical use of generative tools. The need for clear guidelines for AI use is emphasized, along with a critical digital literacy in data ethics and artificial intelligence. Twenty-first-century science must integrate AI as a strategic ally, while upholding core principles of integrity, responsibility, and human benefit.

Authors

Publication Details

Journal
Revista de Investigación Científica y Tecnológica
Published
2025-06-30
DOI
https://doi.org/10.36003/rev.investig.cient.tecnol.v9n1(2025)editorial
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

La Inteligencia Artificial en la ciencia: aliada o desafío ético

Gerardo Armando Picón
Revista de Investigación Científica y Tecnológica
Artificial Intelligence in Healthcare and Education
article

La Inteligencia Artificial en la ciencia: aliada o desafío ético

Gerardo Armando Picón
article en

Abstract

The emergence of Artificial Intelligence (AI) in the scientific domain has transformed the ways in which knowledge is produced, analyzed, and communicated. This editorial reflects on the opportunities and ethical challenges posed by its integration into academic research. It highlights the benefits of AI in fields such as medicine, social sciences, and education, as well as its ability to optimize analytical and predictive processes. However, it also addresses the risks associated with automated authorship, algorithmic opacity, bias reproduction, and the uncritical use of generative tools. The need for clear guidelines for AI use is emphasized, along with a critical digital literacy in data ethics and artificial intelligence. Twenty-first-century science must integrate AI as a strategic ally, while upholding core principles of integrity, responsibility, and human benefit.

Revista de Investigación Científica y TecnológicaVol. 9(1)
Quality Education
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare and Education
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