ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: REVOLUTION OR CHALLENGE?

Abstract

Artificial Intelligence (AI) is reshaping higher education, driving innovations in learning, academic management, and research. This study investigates the applications of AI in university education, highlighting its potential to personalize the student experience, optimize administrative processes, and expand accessibility to knowledge. The growing adoption of these technologies brings ethical and institutional challenges, such as algorithmic bias, data privacy, and impact on teacher autonomy. The research uses a qualitative and quantitative approach, based on literature review and analysis of contemporary academic practices. The results indicate that while AI can positively transform higher education, its implementation must be guided by ethical and regulatory principles to avoid technological inequalities and preserve educational integrity. It is concluded that AI does not replace the human role in education, but can enhance it when used critically and strategically. It is recommended to develop clear guidelines for their responsible adoption, ensuring that the digital revolution in higher education is inclusive, safe and sustainable.