La inteligencia artificial en la investigación científica: transformaciones metodológicas y desafíos emergentes
DOI:
https://doi.org/10.71112/2h12tf97Schlagwörter:
Artificial Intelligence (AI), Scientific Research, Ethics of AI, Data Analysis, Research Methodologies.Abstract
La integración de la inteligencia artificial (IA) en la investigación científica ha dado lugar a avances significativos en la automatización de tareas, el análisis de grandes conjuntos de datos y la facilitación de iniciativas de investigación innovadoras. Una revisión de la literatura indica que la aplicación de la inteligencia artificial (IA) está transformando las metodologías, promoviendo el acceso al conocimiento y acelerando los descubrimientos en diversas disciplinas, especialmente en áreas como la medicina, las ciencias sociales, la biología y la informática. Sin embargo, también plantea retos éticos, sociales y jurídicos relacionados, como los posibles errores en los algoritmos, la falta de transparencia en el funcionamiento de los modelos y la responsabilidad de las decisiones que toman. Este trabajo destaca la necesidad de establecer directrices y principios éticos explícitos, así como de educar a la comunidad científica sobre el uso responsable de la IA, con la intención de fomentar una investigación más innovadora, transparente y socialmente responsable.
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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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