Artificial Intelligence in Latin American Universities: Emerging Challenges

Abstract

The integration of artificial intelligence in Latin American universities has raised ethical challenges among faculty members. Understanding and addressing these challenges is crucial for a successful implementation of artificial intelligence in the educational context. METHOD. This study was conducted using a descriptive-explanatory quantitative approach, incorporating the opinions of 665 university professors from Latin America. Data was collected through surveys, with a Cronbach's alpha coefficient of 0.91. RESULTS. Analysis of the data revealed a range of ethical concerns among the educators regarding the utilization of artificial intelligence in education. These concerns vary in magnitude and nature, but they reflect a clear need to address and understand the ethical implications of artificial intelligence in the educational sphere. DISCUSSION. The adoption of artificial intelligence in Latin American higher education has raised ethical concerns. These concerns, while valid, should not be insurmountable barriers but points of reflection to optimize the integration of artificial intelligence in education. The study provides an essential overview for institutions, educators, and developers looking to implement AI in higher education, emphasizing the urgency of addressing these ethical challenges in an anticipatory and strategic manner.