AI Risk Management and Governance for Risk and Control

LEADING RESPONSIBLE AI ADOPTION IN BANKING

AI Risk Management and Governance for Risk and Control

MAS proposed AI Risk Management Guidelines (Nov 2025) place explicit, non-delegable accountability on the board, senior management, and AI governance committees — even for AI procured from vendors or cloud providers.

Source: MAS Consultation Paper on AI Risk Management, 2025; MAS Project MindForge Operationalisation Handbook, 2026

AI sits at the intersection of data science, business units, and IT — creating ownership ambiguity that traditional governance models were not built to resolve. MindForge’s response: formalised accountability at board, senior-management, and AI-governance-committee level.

Source: MAS Project MindForge Toolkit, 2026

Generative AI and Agentic AI are reshaping how financial institutions operate, and the professionals who govern, oversee, and enable these technologies are under growing pressure to act with both speed and rigour. As AI adoption accelerates, custodians across the second and third lines of defence must balance innovation with accountability, ensuring their organisations meet rising regulatory expectations without stifling business value.

This programme is designed for professionals in oversight, governance, enablement, and risk management roles, including those in compliance, legal, technology, talent, and internal audit — who are responsible for applying AI governance policies, managing AI risks, and enabling responsible adoption across their institutions.

Participants will be introduced to the FEAT principles and the MindForge AI Risk Management and Governance Framework, applying these to real-world GenAI and Agentic AI scenarios. Through practical case studies and interactive exercises, they will develop the skills to identify and assess AI risks, design governance frameworks, implement safeguards for data and systems, and engage stakeholders to support compliant, transparent, and value-driven AI adoption.

Format

Hybrid

Duration

1.5 days

Programme Start Date

TBC

Programme Fees

$1553.25 (incl. GST)

Who is this programme for?

This programme is ideal for:

    • Compliance, legal, and governance professionals responsible for applying AI policies and ensuring ethical AI use

    • Risk and internal audit professionals in the second and third lines of defence overseeing GenAI and Agentic AI adoption

This programme is also relevant for:

    • Senior managers and team leads accountable for compliant and risk-aware AI adoption within their functions

Programme Learning Outcomes

ethical-ai

Illustrate the fundamentals of AI risks and Ethical AI frameworks in the context of financial services governance

leadership

Adopt organisational-level risk management frameworks to incorporate AI-specific risks and controls

detection

Examine the role of custodians in identifying, escalating, and managing AI-specific risks within their areas of accountability

forecasting

Assess how GenAI and Agentic AI impact key risk areas, including model risk, unexplainable outputs, cyber and third-party risk, ethical use, and regulatory compliance

blockchain

Apply the FEAT principles and MindForge AI Risk Management and Governance Framework to real-world GenAI and Agentic AI scenarios

Design

Design governance safeguards and control frameworks to ensure responsible, transparent, and compliant AI adoption

Programme Details

Foundations of AI & Ethics
Regulatory, Ethical and Responsible AI
AI Governance and Risk Management Frameworks
Third-Party AI Risk Management
Use Case-Level Risk Management
AI Inventory and Oversight Capabilities

* The curriculum is subject to changes to reflect the evolving advancements in AI and the needs of financial services industry.

Programme Director

Chia-Tek-Yew

Prof. Tek Yew Chia  LinkedIn

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