aceFrom AI adoption to AI governance: Developing a Buddhist interpretive framework for higher education
Artificial intelligence is increasingly being adopted in higher education to support teaching, learning, administration, quality assurance, and institutional planning. However, much of the current discussion remains focused on adoption, efficiency, and technological capability, with less attention to the interpretive and governance conditions required for responsible institutional use. This article addresses that gap by developing a Buddhist interpretive framework for AI governance in higher education. Drawing o…
Current discussion of AI in higher education focuses on adoption and efficiency with insufficient attention to interpretive and governance conditions needed for responsible institutional use
Findings are based on a small qualitative sample of 16 interview informants and 9 focus group participants with document analysis, limiting generalizability beyond studied university contexts
Evidence
- Peer-reviewedInternational Journal of Medical Informatics2025-04-06
- Peer-reviewedJournal of Interdisciplinary Research in Artificial Intelligence and Society2026-05-19
- Peer-reviewedJournal of Medical Internet Research2025-03-12
- Peer-reviewedFrontiers in Medicine2025-02-11
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Truvace Impact Record TRV-2026-0189, v4: “From AI adoption to AI governance: Developing a Buddhist interpretive framework for higher education.” Truvace, 2026-09-21. /record/TRV-2026-0189 (accessed at citation time). sha256 d7fc0f20492cc066…
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