Participants will learn about the evolution and global adoption of AI, Machine Learning, Deep Learning, Generative AI, and Large Language Models: the essential foundation information that Risk and Compliance Managers must know when considering and challenging AI solutions in real-world business settings.

Through real-world case study and hands-on learning, participants will gain actionable insights into how to leverage AI as risk and compliance officers, covering the use of AI to empower effective risk identification, risk management and mitigating controls across fields such as customer onboarding, transaction monitoring and due diligence.

Recognise the challenges and latest trends in money laundering and fraud detection, appreciate how Artificial Intelligence & Machine Learning can be applied to enhance anti-money laundering (AML) and fraud prevention with real life examples.

The programme also discusses ethical, regulatory, and data privacy considerations when deploying AI solutions. Participants will leave with the knowledge and basic skills to oversee the implementation of responsible AI solutions to address local and global challenges and be able to adopt AI-driven strategies effectively within their respective organisation.

Learning Outcomes:

• Explain the fundamentals of Artificial Intelligence
• Describe and explain when to use Machine Learning vs Deep Learning vs Generative AI
• Outline how AI is being used to improve anti-money laundering (AML), fraud prevention, and compliance
• Analyse the risks associated with AI and create mitigating control strategies
• Develop strategies to ensure AI adoption within their organization is compliant with Singapore regulatory frameworks and guidance
• Demonstrate the ability to leverage AI tools to design, communicate, and embed new operational processes within the organisation
• Apply structured change management principles to ensure stakeholder alignment, adoption, and sustained transformation.