Professor Keith Lee Speaks at Bett Asia 2026 Leadership Summit
Publications under SIAI Editor are prepared or coordinated by SIAI’s research and editorial team and include research synthesis, policy and industry analysis, technical interpretation, and interdisciplinary work connecting artificial intelligence with established fields of research and professional practice.
Published
Professor Keith Lee, Professor of AI and Finance at the Swiss Institute of Artificial Intelligence (SIAI), delivered a solo session at the Bett Asia 2026 Leadership Summit in Kuala Lumpur on 23 September.
Titled “Beyond Retraining: Lifelong Education in the Age of Superhuman Labour,” the presentation examined how artificial intelligence is changing professional cognitive work and why higher-education and workforce institutions need to move beyond one-off reskilling responses.
The session set out a practical framework for identifying AI-exposed tasks, distinguishing durable human capabilities from readily replicable technical competence, and developing recurring learning pathways for working adults. It argued that lifelong education should become an institutional capability rather than a late response to displacement.
The presentation formed part of Bett Asia’s Higher Education and TVET programme. On the preceding day, Professor Lee also participated in Bett Asia’s invitation-only Ministerial Policy Roundtables on responsible AI adoption in post-secondary and higher education.
Several attendees requested access to the presentation materials following the session. The PDF version is available below.
Bett Asia is an education leadership conference and education-technology exhibition held in Kuala Lumpur, bringing together educators, institutional leaders, policymakers and industry participants from across the Asia-Pacific region.
Conference materials
- Topic: Beyond Retraining: Lifelong Education in the Age of Superhuman Labour
Publications under SIAI Editor are prepared or coordinated by SIAI’s research and editorial team and include research synthesis, policy and industry analysis, technical interpretation, and interdisciplinary work connecting artificial intelligence with established fields of research and professional practice.
