[2026 Sustainability Learning Week – Evening Lecture] “AI Fluency Not Taught in Medical School: Understanding Data, Taking Responsibility for AI, and Working Alongside AI”

聯合永續發展目標
[2026 Sustainability Learning Week – Evening Lecture] “AI Fluency Not Taught in Medical School: Understanding Data, Taking Responsibility for AI, and Working Alongside AI”
聯合永續發展目標
新聞內容

China Medical University’s (CMU) Office of Social Responsibility and Sustainability held an evening lecture as part of its Sustainability Learning Week on Monday, November 2, 2026, from 6:00 p.m. to 8:00 p.m. at the Stanford Conference Room on the second floor of the Excellence Building at the Shui-Nan Campus, with simultaneous online participation via Google Meet. The event featured physician Chin-Chi Kuo, who delivered a keynote lecture titled “AI Fluency Not Taught in Medical School: Understanding Data, Taking Responsibility for AI, and Working Alongside AI.” The session was hosted by CMU’s Chief Sustainability Officer, Professor Cheng-Chun Lee, who delivered the opening remarks. The lecture attracted a large audience of faculty members and students, with the venue filled to capacity.

Focusing on the development of artificial intelligence (AI), Dr. Kuo provided an in-depth overview of its impact on and potential benefits for various industries and academic fields. He emphasized that despite the growing convenience and capabilities of AI applications, it remains essential to build and strengthen fundamental professional knowledge and skills. He encouraged students to establish their own data repositories while continuously deepening their expertise and professional competencies. Dr. Kuo also encouraged CMU students to make effective use of the University-developed innovative medical big data service platform, “iHI CMU Haiyun Platform,” to support their learning through AI tools. By integrating AI capabilities with their respective areas of expertise, students can develop the ability to apply AI effectively and collaborate with AI systems, thereby expanding their professional knowledge and competencies.

In addition to attracting students from various related academic fields, the lecture also welcomed online participants from Asia University and Feng Chia University. During the concluding session, Dr. Kuo engaged with students and addressed their questions. Regarding the application of AI in healthcare, he noted that the public may increasingly use AI for preliminary health assessments or to verify medical information. However, he emphasized that the professional value of physicians lies in their clinical experience and human-centered care, qualities that AI cannot easily replicate. Therefore, AI is unlikely to fully replace physicians in the near future. Dr. Kuo also encouraged students to actively develop interdisciplinary learning capabilities and make systematic use of AI tools to explore different fields of knowledge, gradually building both the depth and breadth of their expertise. He highlighted these abilities as essential competencies for students in the modern era.

The lecture concluded with enthusiastic discussions and exchanges. Through this event, CMU hopes to help students better understand emerging learning trends in the AI era and develop the ability to integrate technological applications with their professional expertise, opening up broader and more diverse opportunities for future development.