Integrating generative AI (GAI) into higher education is crucial for preparing a future generation of GAI-literate students. Yet a thorough understanding of the global institutional adoption policy remains absent, with most of the prior studies focused on the Global North and the promises and challenges of GAI, lacking a theoretical lens. This study utilizes the Diffusion of Innovations Theory to examine GAI adoption strategies in higher education across 40 universities from six global regions. It explores the characteristics of GAI innovation, including compatibility, trialability, and observability, and analyses the communication channels and roles and responsibilities outlined in university policies and guidelines. The findings reveal a proactive approach by universities towards GAI integration, emphasizing academic integrity, teaching and learning enhancement, and equity. Despite a cautious yet optimistic stance, a comprehensive policy framework is needed to evaluate the impacts of GAI integration and establish effective communication strategies that foster broader stakeholder engagement. The study highlights the importance of clear roles and responsibilities among faculty, students, and administrators for successful GAI integration, supporting a collaborative model for navigating the complexities of GAI in education. This study contributes insights for policymakers in crafting detailed strategies for its integration.

将生成式人工智能（GAI）融入高等教育对准备未来一代具备GAI知识的学生至关重要，本研究运用创新扩散理论考察了来自六个全球地区的40所大学中高等教育中GAI采纳策略，其中探讨了GAI创新的特征、沟通渠道以及大学政策和指导中所概述的角色和责任，结果显示大学对于GAI整合采取了积极的态度，强调学术诚信、教学和学习的提升以及公平性，然而需要制定全面的政策框架以评估GAI整合的影响并建立有效的沟通策略以促进更广泛的利益相关者参与，该研究强调教师、学生和管理人员之间明确的角色和责任对于成功整合GAI至关重要，支持协作模式来应对教育中GAI的复杂性，并为政策制定者在制定详细的整合战略时提供了见解。

高等教育中的生成AI：机构采用政策和指南的全球视角