AI in Higher Education: Balancing Innovation and Ethical Challenges

Abstract

This study examines the integration of Artificial Intelligence (AI) in higher education, focusing on both its transformative potential and the challenges it introduces for teaching, learning, and institutional operations. As AI technologies such as machine learning, natural language processing, and data analytics become more prevalent, they offer opportunities to personalize learning, enhance administrative efficiency, and support student success. However, the adoption of AI also presents significant barriers, including technological limitations, faculty resistance, ethical concerns, and disparities in access among students and institutions. Using a qualitative research approach and thematic analysis, this research explores the perspectives of administrators, faculty, and students regarding AI adoption. The findings reveal that while AI can enrich educational experiences and facilitate global collaboration, successful integration requires strategic planning, policy development, faculty training, and a strong commitment to equity and ethical considerations. The study contributes to the ongoing discourse on AI in higher education by offering recommendations for universities, policymakers, and technology developers to navigate the evolving educational landscape in the AI age.