Challenges and Dilemmas of Artificial Intelligence in the Transformation of University Education

Abstract

The emergence of artificial intelligence (AI) in higher education has sparked a complex debate that intertwines opportunities for innovation with ethical and pedagogical dilemmas. Beyond being a technological tool, AI is reshaping teaching methods, assessment processes, and knowledge management, compelling institutions to rethink traditional practices. While its potential to personalize learning, optimize resources, and expand access is undeniable, concerns arise regarding the erosion of critical autonomy, technological dependency, and the possible dehumanization of educational processes. Universities, as spaces for comprehensive training, face the challenge of balancing innovation with the preservation of essential academic values such as critical thinking, creativity, and professional ethics. Furthermore, AI implementation raises pressing issues related to equity and inclusion, since the digital divide may exacerbate existing inequalities in diverse socioeconomic contexts. Addressing these dilemmas requires clear institutional policies, faculty training in digital competencies, and the adoption of ethical frameworks to ensure that AI becomes an ally rather than an obstacle in higher education development. Consequently, the debate on its use should not be reduced to technological efficiency alone, but must also emphasize safeguarding the human dimension of education.

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