From Prohibition to Guided Adoption: A Socio-Technical Framework for Human-Centered Generative AI Governance in Higher Education

This paper identifies a cross-institutional shift from blanket prohibition of generative AI toward guided adoption in higher education. Its main contribution is the proposed Human-Centered GenAI Governance Stack, which integrates six connected governance layers: permission, transparency, verification, human agency, institutional infrastructure, and accountability. The framework offers universities a practical socio-technical model for governing GenAI responsibly while protecting learning, privacy, academic integrity, and human oversight.