The International Status of Generative Artificial Intelligence Applications in Higher Education

This study conducts a comparative analysis of generative AI governance across 35 leading universities in seven countries, revealing a growing global convergence around core ethical principles and governance priorities. Drawing on UNESCO’s Guidelines for the Use of Generative AI in Education and Research (2023), the research identifies ten key governance dimensions—spanning transparency, fairness, human agency, safety and security, AI literacy, academic integrity, accountability, procurement and compliance, privacy and data protection, and intellectual property rights. Among these, five—fairness, human agency, academic integrity, data protection, and intellectual property—exhibit the highest degree of cross-national alignment. Despite contextual differences, institutions worldwide emphasize critical appraisal of AI outputs, the safeguarding of human autonomy, and the protection of data and creative authorship. Implementation pathways vary by region: East Asian universities emphasize responsible use under state-led regulatory environments; Anglo-American universities rely on flexible, practitioner-led institutional policies and guidelines; and Continental European universities adopt legally codified approaches grounded in regional regulations such as the GDPR and the EU AI Act. These patterns reflect a shared commitment to human-centered, transparent, and accountable governance of generative AI in higher education, while allowing for contextual diversity in regulatory and policy practice.