Generative AI has drawn significant attention from stakeholders in higher education. As it introduces new opportunities for personalized learning and tutoring support, it simultaneously poses challenges to academic integrity and leads to ethical issues. Consequently, governing responsible AI usage within higher education institutions (HEIs) becomes increasingly important. Leading universities have already published guidelines on Generative AI, with most attempting to embrace this technology responsibly. This study provides a new perspective by focusing on strategies for responsible AI governance as demonstrated in these guidelines. Through a case study of 14 prestigious universities in the United States, we identified the multi-unit governance of AI, the role-specific governance of AI, and the academic characteristics of AI governance from their AI guidelines. The strengths and potential limitations of these strategies and characteristics are discussed. The findings offer practical implications for guiding responsible AI usage in HEIs and beyond.

翻译：生成式人工智能已引起高等教育利益相关者的广泛关注。该技术在为个性化学习和辅导支持带来新机遇的同时，也对学术诚信构成挑战并引发伦理问题。因此，在高等教育机构内治理负责任的人工智能使用变得日益重要。顶尖大学已发布生成式人工智能指导方针，其中多数尝试以负责任的方式接纳这项技术。本研究通过聚焦这些指导方针所展现的负责任人工智能治理策略，提供了新的研究视角。通过对美国14所知名大学的案例研究，我们从其人工智能指导方针中识别出人工智能的多单元治理模式、角色导向型治理机制以及人工智能治理的学术特性。本文进一步讨论了这些策略与特性的优势及潜在局限。研究结果为高等教育机构及其他领域引导负责任的人工智能使用提供了实践启示。