AI Risk Management & Governance

HARNESSING THE POWER OF AI WHILE MANAGING ITS RISKS

49%

of organisations lack a formal AI governance framework to manage AI risks.
Source: Deloitte

USD4.4 T

in annual economic value from GenAI is enabled by effective risk management and governance.
Source: McKinsey & Company

AI and Generative AI are rapidly transforming how financial institutions manage risk, compliance, and governance. As adoption accelerates, organisations must balance innovation with regulatory expectations, ethical considerations, and emerging technology risks.

This program is designed for risk, compliance, and leadership professionals guiding AI and GenAI adoption in financial services. Participants will build a strong foundation in AI and GenAI, understand regulatory and risk management frameworks, and develop the mindset and capabilities of an AI Risk Manager.

Through real-world GenAI case studies and interactive exercises, participants will gain practical insights into managing unexplainable risks, implementing validation and guardrails, addressing cyber and third-party exposures, and engaging senior management to support responsible, value-driven AI adoption.

Format

On-site Learning

Duration

2 days

Course Start Date

TBC

Course Fees

$3000 (incl. GST)

Who is this programme for?

This program is ideal for:

  • Risk, compliance, and governance professionals overseeing AI and GenAI adoption

  • Leaders and decision-makers responsible for balancing innovation with regulatory and ethical considerations

  • Technology and product professionals working closely with financial institutions

  • Professionals involved in AI risk management, model validation, cyber risk, or third-party governance

Programme Details

AI

Design an AI risk management and governance roadmap aligned with business strategy, regulatory expectations, and organisational risk appetite

casestudy

Identify, assess, and prioritise high-risk and high-impact AI and GenAI use cases within their organisation

exam.svg

Evaluate leadership, talent, and organisational capabilities required to oversee responsible AI adoption

forecasting

Assess how AI and GenAI impact key risk areas, including model risk, unexplainable outputs, cyber and third-party risk, ethical use, and regulatory compliance, supported by case studies and group exercises.

Programme Details

Course Instructors

Chia-Tek-Yew

Prof. Tek Yew Chia
Senior Advisor, Boston Consulting Group

Prof. Tek Yew Chia is a leading voice in financial services and digital innovation, with over 30
years of experience spanning strategy, technology, and regulation across Asia and the Middle
East. He is Adjunct Professor and Advisor at the NUS Asian Institute of Digital Finance, and
formerly Vice Chairman of Oliver Wyman Singapore and Head of Financial Services Advisory
in KPMG Singapore.

Prof. Chia is concurrently a Senior Advisor in Boston Consulting Group (BCG) and also serves
as an advisor to the ASEAN Bankers Association (ABA) and the Global Finance and
Technology Network (GFTN - a spin-off from the Monetary Authority of Singapore). A sought-
after speaker, he brings sharp insights on the future of finance at the intersection of policy.
technology, and business.

READY TO EMBARK ON YOUR JOURNEY?

Contact Us:

📧 aidf-fintech@nus.edu.sg

Whatsapp +6566012884