This paper examines the benefits, challenges, and responsible use of artificial intelligence in higher education. It discusses how AI technologies can support personalized learning, academic assistance, student engagement, and administrative efficiency. The paper also considers concerns relating to academic integrity, data privacy, algorithmic bias, overdependence on automated tools, and unequal access to technology. Using a literature-based approach, the paper discusses the opportunities and limitations of AI integration in educational institutions. It emphasizes the importance of human oversight, transparency, responsible data management, and ethical guidelines when implementing AI-based educational tools. The paper aims to contribute to the discussion on how higher education institutions can use AI responsibly while maintaining academic standards and supporting meaningful learning outcomes.
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Wengel et al. (2026) studied this question.
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