Professor Hahn Jungpil recently shared insights from his visit to Melbourne, where he participated in the International AI Cooperation and Governance Forum (IAICGF) and presented research at the University of Melbourne. A key theme of his discussions was how artificial intelligence is transforming higher education and knowledge work. He argued that universities should move beyond measuring success by graduate employability alone and instead focus on developing enduring capabilities such as critical judgment, systems thinking, responsible AI literacy, and a strong sense of purpose, which will remain valuable in an AI-driven world.

During his research presentation, Prof. Hahn introduced a study on the structural pitfalls of processing AI-generated information, highlighting that organizational structures can unintentionally amplify AI-related errors due to human biases. His research demonstrates that different decision-making structures—such as hierarchical, polyarchical, and hybrid models—not only influence how errors are detected and filtered but also shape long-term trust and attitudes toward AI within organizations. The findings underscore the importance of designing governance systems that account for both technological and human factors.

The visit also fostered discussions with researchers and academics on organizational design, strategy, and the future of AI governance. These exchanges reinforced the value of interdisciplinary collaboration in addressing emerging AI challenges and inspired new research directions. Prof. Hahn concluded that international engagement plays a vital role in broadening perspectives and will inform the NUS FinTech Lab’s future work on AI governance, organizational design, and the evolution of higher education.