China Medical University’s (CMU) Office of Social Responsibility and Sustainability held an evening lecture as part of its Sustainability Learning Week on Friday, November 6, 2026, from 6:00 p.m. to 8:00 p.m. at the Active Learning Classroom, Room 702, Excellence Building, Shui-Nan Campus, with simultaneous online participation via Google Meet. The workshop was led by Assistant Professor Chin-Yun Hsu and titled “Myself in 2035: A Career Preparation Workshop in the Era of AI and Sustainability Transformation.” Starting from students’ current competencies, the workshop encouraged participants to consider how emerging AI technologies and sustainability trends may influence future career development and to reassess the professional capabilities needed to navigate an increasingly dynamic environment.
The workshop began by examining the volatility, uncertainty, complexity, and ambiguity (VUCA) of the modern world. It highlighted how the dual transformations driven by AI and sustainability are not only changing the tools used in the workplace but also reshaping organizational decision-making, resource allocation, and talent requirements. The program featured two rounds of group discussions. In the first round, students were invited to identify three competencies they currently possessed in 2026, reflect on their experience using AI and their information-verification habits, and assess their teams’ existing strengths and competency gaps. The discussion then incorporated key insights from previous lectures by Dr. Chin-Chi Kuo, Dr. Yu-Ching Lan, and Professor Szu-Ting Chen, covering AI applications in healthcare, AI agents and sustainability governance, and the limitations of AI knowledge and the importance of professional responsibility. These perspectives helped students understand the potential applications and limitations of AI from different professional viewpoints.
In the second round of discussions, students were invited to look back from the perspective of 2035 and reconsider the possible transformations in future healthcare environments, as well as identify the professional competencies and responsibilities that should not be delegated entirely to AI. Through group presentations and exchanges, participants proposed essential capabilities for continued development and identified concrete directions for action. The workshop emphasized that future professionals should not focus solely on mastering AI tools, but must also develop interdisciplinary collaboration, critical thinking, evidence evaluation, ethical judgment, and accountability. Through this workshop, CMU hopes to help students transform their visions of the future into actionable learning goals and prepare them to become professionals capable of making sound judgments, collaborating across disciplines, and taking responsibility amid rapid technological advancement and sustainability transformation.