University of New South Wales
AI for Board Directors
- Delivery: Face to Face
- Study Level: Advanced
- Duration: 2 days
- Course Type: Short Course
- Total Price: $3,950
Build the confidence to lead board-level AI discussions with the strategic insight and governance skills to balance innovation, risk and ethics.
Course overview
Govern AI effectively, safely and grow shareholder value.
This AGSM course equips board directors and professionals to govern AI effectively, balancing growth opportunities with risk management. Learn to leverage AI for strategic decision-making, identify new business models and fulfil director duties while navigating compliance challenges in the rapidly evolving AI landscape.
This practical, outcomes-driven course equips board directors with the skills, frameworks and confidence to oversee responsible AI adoption at the highest level. You'll learn how to identify strategic opportunities, fulfil fiduciary duties, exercise effective oversight, manage enterprise-wide risks and ensure AI strategies align with shareholder value and long-term organisational sustainability.
Through case studies and peer discussion, you'll strengthen your ability to govern AI adoption, oversee enterprise risk and safeguard long-term shareholder interests while maintaining competitive advantage.
Learning outcomes are:
- Govern AI and innovate.
Develop an understanding of AI and how to govern innovation and growth. - Lead change with confidence and clarity.
Strengthen your capability to govern AI, assessing readiness, culture and fostering a culture of innovation. - Manage AI risk and meet compliance requirements.
Manage risks related to AI and meet compliance requirements more effectively.
Course designed to stack
Use multiple credentials to stack your learning. This course is worth 2 AGSM CEMD points, which provides formal recognition of professional development and reflects 18 hours of learning, inclusive of pre-work, course participation, learning materials and support.
Key facts
What you will study
This course is delivered across two full days.
Day 1
- Introduction to AI
- Board’s Role in AI Strategy Activities
- Risk Management and Responsible AI
- Finance and Business Case Activities
Day 2
- Legal and Compliance
- AI Workforce and Culture Implications
- AI Implementation Challenges
- Future Trends in AI
What you will learn
Throughout the course, you'll master AI governance frameworks, strategic oversight capabilities, enterprise risk assessment and stakeholder accountability, giving you the confidence to challenge management proposals, fulfil your fiduciary duties and ensure AI initiatives are compliant, ethical and value-creating for shareholders.
Who should attend
- Directors of boards.
- Aspiring directors.
- Executives and professionals who want to understand the director's considerations on AI.
- Current or emerging board directors transitioning to board roles.
Who You Will Learn From
Gladwin Mendez
Chief Data and AI Officer
Gladwin is one of Australia’s leading voices in data and AI, known for helping organisations adopt artificial intelligence responsibly and effectively. With almost two decades of experience across the Big Four banks, insurance, investment, utilities, telco, logistics and higher education, he specialises in turning complex technology trends into clear, practical strategies.
Recently named among the Top 100 Global Leaders in Data & Innovation, he serves as a fractional Chief Data & AI Officer with GEC Prudentia and contributes to global communities through the Forbes Technology Council and Association.AI.
Gladwin is also deeply committed to education. He has spoken at more than 90 events, from APEC to major CDAO/CISO conferences. He works closely with universities across Australia and New Zealand to shape future-focused curricula in AI, data ethics and cybersecurity. Known for his articulate, engaging style, he regularly lectures and participates in academic-industry panels.
He offers a clear, grounded view of where AI is heading and the skills that will matter most in a rapidly evolving digital economy.