AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
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 w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/16/10/354 |
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| author | Chuhao Wu He Zhang John M. Carroll |
| author_facet | Chuhao Wu He Zhang John M. Carroll |
| author_sort | Chuhao Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-daaed7a8660943b5a1a5a9984dd1ee9a |
| institution | OA Journals |
| issn | 1999-5903 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-daaed7a8660943b5a1a5a9984dd1ee9a2025-08-20T02:11:09ZengMDPI AGFuture Internet1999-59032024-09-01161035410.3390/fi16100354AI Governance in Higher Education: Case Studies of Guidance at Big Ten UniversitiesChuhao Wu0He Zhang1John M. Carroll2College of Information Sciences and Technology, Pennsylvania State University, University Park, PA 16802, USACollege of Information Sciences and Technology, Pennsylvania State University, University Park, PA 16802, USACollege of Information Sciences and Technology, Pennsylvania State University, University Park, PA 16802, USAGenerative 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.https://www.mdpi.com/1999-5903/16/10/354Artificial IntelligenceGenerative AIhigher educationAI policy |
| spellingShingle | Chuhao Wu He Zhang John M. Carroll AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities Future Internet Artificial Intelligence Generative AI higher education AI policy |
| title | AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities |
| title_full | AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities |
| title_fullStr | AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities |
| title_full_unstemmed | AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities |
| title_short | AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities |
| title_sort | ai governance in higher education case studies of guidance at big ten universities |
| topic | Artificial Intelligence Generative AI higher education AI policy |
| url | https://www.mdpi.com/1999-5903/16/10/354 |
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