分析14所美国名校AI治理策略，提炼三类实践模式。
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
- 从14所名校指南中归纳出多机构协同、角色定制、学术特色三类治理模式。
- 发现多数高校在拥抱AI技术的同时注重学术诚信与伦理规范。
- 适合教育管理者、政策制定者参考，助力高校AI治理落地。
生成式AI引发高等教育界广泛关注。尽管其为个性化学习与辅导带来新机遇，也对学术诚信造成挑战并引发伦理问题。因此，高校内负责任的AI治理日益重要。领先高校已发布生成式AI使用指南，多数致力于以负责任方式接纳该技术。本研究通过14所美国知名高校的案例分析，揭示了其AI治理中的多单位协同、角色差异化及学术特性等策略。文中讨论了这些策略的优势与潜在局限，为高等教育机构及其他领域提供可借鉴的实践启示。
原文摘要 · Abstract (English)
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.
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