The aim of this study is to demonstrate the contributions of scholarly research on artificial intelligence in university students. To this end, the PRISMA method was employed within the Scopus database. Following the refinement process, 32 studies were retained: 12 quantitative, 8 qualitative, 7 mixed-methods, and 5 systematic literature reviews. Academic literature acknowledges the potential of Artificial Intelligence (AI) to revolutionize higher education. However, its successful implementation hinges upon overcoming significant challenges related to the training of educational stakeholders, the development of policies and guidelines for its ethical use, fostering clear codes of conduct, promoting strategies to combat digital divides, the generation of techno-pedagogical competencies for its appropriate deployment in courses, and the development of skills to identify and rectify potential errors or biases in AI-generated results.