The debate around incorporating generative AI in higher education is a hot topic among educators, scholars, practitioners, and other interested parties. It’s essential to explore why generative AI may not be the ideal end-all solution for higher education. While there are opportunities and potential advantages of AI-driven learning, such as enhanced efficiency, personalization, and accessibility, we must also consider the possible risks and unintended consequences that come with it.

Below are 100 arguments that reveal the intricate nature of the issue, touching upon ethical dilemmas, pedagogical impacts, the erosion of human agency, and threats to academic freedom. By sharing these insights I hope to encourage a more balanced and informed discussion on the role of Generative AI in shaping the future of higher education. These are generated by ChatGPT, so please offer your critique to the 100 items below.

The Case Against Generative AI in Higher Education: 100 Arguments