Abstract
The integration of generative AI tools in higher education presents both significant opportunities and challenges. This paper addresses two key questions: how AI should be incorporated into higher education and what ethical and pedagogical principles should guide its use. While AI enhances creativity, efficiency, and personalized learning, it also raises concerns about over-reliance, bias, and ethical implications. Through a comprehensive review of existing literature, this study examines the ethical and pedagogical impact of AI in education. Findings suggest that institutions must ensure AI complements traditional learning, uphold academic integrity, and promote critical thinking. Human-AI collaboration and equitable access are essential to support diverse learners. Additionally, prioritizing ethical AI use, data privacy, and AI literacy safeguards student rights and prepares educators and students for the evolving technological landscape. The paper concludes that institutions must develop clear AI policies, embed AI ethics into curricula, and provide ongoing faculty training. By addressing these considerations, higher education can harness AI’s benefits while maintaining the critical role of human educators and ensuring equitable and ethical access for all learners.