CLThe article discusses the growing integration of artificial intelligence (AI) into higher education, particularly focusing on the challenges posed by students using AI tools during assessments. The author argues that the current debate centers around how to prevent student use of AI, but emphasizes that the more pressing issue is rethinking evaluation methods to differentiate between performance and actual learning outcomes. The piece highlights examples such as the University of Mexico’s (UNAM) recent admission exams, where unusual results led to a temporary suspension of enrollment processes. It notes that AI has already become widespread among both students and educators in Latin America, with over 90% of students and nearly 80% of teachers regularly using it. The author concludes that banning AI is ineffective, as it is now ubiquitous, and instead calls for integrating AI in ways that promote critical thinking rather than producing superficially perfect work without meaningful learning.
Bias read (Center): The article focuses on educational practices and the role of AI in learning, which is primarily an educational concern rather than a politically charged issue. The discussion does not take a clear stance on political matters, nor does it frame the topic in a biased manner. It presents arguments and
