1.Interpretation of the WHO′s “Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models” and its implications for China
Yao YANG ; Cui Victor YU ; Yuting WANG ; Peng XUE ; Xiaomei ZHAI ; Youlin QIAO
Chinese Journal of Preventive Medicine 2025;59(6):960-969
With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.
2.Interpretation of the WHO′s “Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models” and its implications for China
Yao YANG ; Cui Victor YU ; Yuting WANG ; Peng XUE ; Xiaomei ZHAI ; Youlin QIAO
Chinese Journal of Preventive Medicine 2025;59(6):960-969
With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

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