高等教育中的人工智能治理：十大联盟大学指南案例研究
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
AI总结：
本文通过案例研究美国14所著名大学的生成式人工智能指南，识别出多单位治理、角色特定治理和学术特征三类策略，并讨论其优缺点，为高等教育机构负责任地使用人工智能提供实践指导。
摘要：
生成式人工智能已引起高等教育利益相关者的高度关注。它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（HEIs）内部治理负责任的人工智能使用变得日益重要。领先大学已经发布了关于生成式人工智能的指南，其中大多数试图负责任地接纳这项技术。本研究通过聚焦这些指南中所体现的负责任人工智能治理策略，提供了一个新视角。通过对美国14所著名大学的案例研究，我们从其人工智能指南中识别出人工智能的多单位治理、人工智能的角色特定治理以及人工智能治理的学术特征。本文讨论了这些策略与特征的优点和潜在局限。研究结果为在高等教育机构及其他场景中指导负责任的人工智能使用提供了实践启示。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
