Artificial intelligence in scientific research: methodological transformations and emerging challenges
DOI:
https://doi.org/10.71112/2h12tf97Keywords:
Inteligencia Artificial (IA);, Investigación Científica;, Ética de la IA;, Análisis de Datos;, Metodologías de Investigación.Abstract
The integration of artificial intelligence (AI) within the domain of scientific research has led to significant advances in the automation of tasks, the analysis of voluminous data sets, and the facilitation of the development of innovative research initiatives. A review of the literature indicates that the application of artificial intelligence (AI) is transforming methodologies, promoting access to knowledge, and accelerating discoveries in various disciplines, especially in areas such as medicine, social sciences, biology, and computer science. However, it also addresses related ethical, social, and legal challenges, such as potential errors in algorithms, lack of transparency in how models work, and responsibility for the decisions they make. The study underscores the necessity of establishing explicit ethical guidelines and principles, as well as educating the scientific community on the responsible use of AI. This approach is intended to foster more innovative, transparent and socially responsible research.
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Copyright (c) 2026 Alberto Oviedo-Argueta, Bruno Paúl Alexander Vásquez, Johanna Beatriz Pérez de Martínez, Omar Otoniel Flores-Cortez (Autor/a)
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