THE OVERLOOKED EFFECTS OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: A CRITICAL ANALYSIS

Artificial Intelligence (AI) is quickly changing the landscape of higher education, providing innovative solutions to enlarge teaching, learning, and administrative processes. This paper explores the multifaceted impact of AI on higher education, focusing on its positive effects, negative implications, ethical considerations, and future directions. The positive effects of AI in higher education are diversified, including personalized learning experiences, improved teaching methods, and optimized administrative processes. AI technologies such as adaptive learning platforms, AI-powered tutoring systems, and automated grading systems have the potential to revolutionize traditional educational practices, leading to increased student engagement, academic success, and institutional efficiency. Despite these benefits, AI also presents challenges and risks that must be carefully taken into consideration. Concerns such as favoritism and discrimination in AI systems, reduction of human interaction in educational settings, and resistance of maintaining a posture significantly ethical and societal for the future of AI in education. This paper contributes to the current discourse on AI in higher education by providing a comprehensive analysis of its impact, challenges, and opportunities.