± HEALTH For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep le…± LIFESTYLE Loneliness is a pressing global health issue, yet traditional interventions often fall short due to scalabili…± POLICY Abstract As AI systems increasingly influence everyday life, integrating diverse community values is both eth…+ HEALTH Artificial intelligence has transformed digital pathology by enabling biomarker prediction from high-resoluti…+ POLICY As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developi…+ HEALTH ABSTRACT Efficient, accurate phenotyping for antidepressant treatment response in electronic health records (…+ HEALTH Electronic health records (EHRs) offer considerable potential for clinical prediction, but their complexity a…− HEALTH Abstract Computational pathology foundation models (CPathFMs) have emerged as a powerful approach for analyzi…
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TRV-2026-0251Certified recordPeer-reviewed

A framework for developing university policies on generative AI governance: a cross-national comparative study

As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developing policies to govern its ethical, pedagogical, and institutional use. However, these policies vary across national and institutional contexts. We undertake a cross-national analysis of GAI guidelines issued by leading universities in the United States, Japan, and China, identifying key policy orientations and proposing a structured framework to support policy development. Using an extended Technology Acc…

Policy · G Space — documented gain · certified 2026-07-17 · v1 · article view · machine-readable

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Researchers developed the University Policy Development Framework for Generative AI to help universities assess priorities and build sustainable governance capacity.

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Findings are bounded to leading universities in three countries and to policies available by mid-2026, limiting generalizability to other institution types or national contexts.

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Truvace Impact Record TRV-2026-0251, v1: “A framework for developing university policies on generative AI governance: a cross-national comparative study.” Truvace, 2026-07-17. /record/TRV-2026-0251 (accessed at citation time). sha256 4024e504d259fb62…

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