Expectations of Artificial Intelligence at a public university in central Mexico

Abstract

Artificial intelligence (AI) has been controversial in Higher Education Institutions (HEIs) in Mexico. The usefulness of AI is evident in the training of talents in scientific and engineering fields, but the risks are perceived in the humanities and social sciences. Thus, the objective of the present study was to establish the two dimensions in a sample of students in academic, professional, and work training. An exploratory, transversal, and correlational study was conducted with a sample of 100 students assigned to the system of professional practices and social services in institutions and organizations focused on management, production, and knowledge transfer. The results reveal significant differences between the theoretical structure and empirical observations. The repercussions for future studies lie in establishing a training agenda that incorporates both the risks and the utility of AI.