AI Governance

This elective module is part of the SMU-SID Directorship programme.

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

What you will learn

1. Understand the fundamentals and current state of generative AI technology.
2. Explore the AI ecosystem, including key players and economic dynamics.
3. Assess the impact of generative AI on business, labor, economy, and talent.
4. Identify governance, compliance, and ethical considerations in AI adoption.
5. Develop effective strategies for AI implementation and oversight at the board level.
6. Navigate risks and challenges associated with early AI technology adoption.
7. Make informed, data-driven decisions regarding AI strategy and governance.

Hear from our participants

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. 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.” 

—Cindy Oh
CEO of ETHOZ GROUP LTD
 

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.” 

—Pauline Loo
Senior Vice President HR & Regional Hub Head of HR, 
Nippon Sanso Holdings Singapore

 

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.” 

—Shannah See Yi Ning
Managing Director, DBS Bank Ltd