Our graduates from the AI Governance Module that is part of our flagship SMU-SID Directorship Programme share their experiences after completing the module.
Developed in partnership with Singapore Institute of Directors (SID) and Singapore Computer Society (SCS), this elective module provides board directors with a comprehensive understanding of AI governance, focusing on the implications of generative AI and others forms of AI for business strategy, labour, economy, and talent.
It addresses governance, compliance, risks, and ethical considerations in AI adoption, equipping directors with the tools and knowledge needed for informed, data-driven decision-making about AI strategy and oversight at the board level.
Programme Partners
CEO, ETHOZ Group Ltd
Tell us why you decided to register for the programme?
AI capabilities and knowledge have become essential for companies of all sizes to sustain growth and long-term success. For boards of directors, it is especially important to understand how to govern this evolving landscape and effectively support AI initiatives.
How do you feel after completing the programme?
The AI Governance module of the SMU-SID Directorship Programme has been truly enlightening. The content was well-structured, and the lecturers communicated complex concepts with great clarity. Overall, it has been a highly valuable and enriching learning journey for me.
Senior Vice President HR & Regional Hub Head of HR, Nippon Sanso Holdings Singapore
What did you gain from the programme?
The AI Governance module was a strong capstone to the SMU-SID Directorship programme and provided me timely insights into the evolving responsibilities of the boards in an AI-enabled organisations. The frameworks shared were helpful to ask the right questions around AI risks, check for accountability and ethical oversight. The case discussions and peer exchanges made all the learnings immediately applicable in real boardroom contexts.
Managing Director, DBS Bank Ltd
What are your takeaways from the programme?
My experience with the SMU-SID Directorship Programme’s Module 7 on AI Governance was exceptionally positive.
The course content was meticulously developed, and the engagement with highly relevant industry speakers delivered invaluable insights into the latest AI governance developments and essential trends for board-level consideration. It effectively highlighted the imperative for boards to proactively engage with continuous learning and adaptable frameworks to navigate the fast-changing and often unpredictable nature of AI advancements.