The use of artificial intelligence in university research training: benefits and ethical challenges
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Abstract
The rapid expansion of artificial intelligence (AI) has led to significant transformations in higher education systems, particularly in university research training processes. These technologies have expanded the possibilities for access to scientific information, data analysis, and the production of academic knowledge. However, their incorporation into educational processes has also generated relevant debates about the ethical challenges associated with their use, including issues related to academic integrity, data privacy, and students' technological dependence.
The present study aims to analyze the use of artificial intelligence in university research training, identifying its main benefits and the ethical challenges that arise from its implementation in higher education. To this end, a qualitative research approach was developed based on a narrative review of current scientific literature in academic databases such as Scopus, Web of Science, and Google Scholar.
The results show that artificial intelligence can strengthen students' research skills by facilitating access to scientific information, optimizing data analysis, and improving academic communication. However, risks associated with the indiscriminate use of these technologies are also identified, especially in relation to the authenticity of learning and academic integrity.
It is concluded that the integration of artificial intelligence into university research training requires pedagogical and regulatory frameworks to guide its responsible use, promoting higher education based on critical thinking, scientific ethics, and technological innovation.
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