Certified Risk and Compliance for AI Practitioners
About This Course
This course provides a practical exploration of the Artificial Intelligence (AI) risk landscape, covering international regulation, enterprise risk management implications, and the emerging role of RiskTech solutions. Over two days, participants will examine how AI, automation, and machine learning systems work in practice, where their risk exposures arise, and how those risks manifest in real organisational settings, illustrated through case studies. The programme explores how AI risks are governed across the three lines of defence, drawing on leading frameworks including the Monetary Authority of Singapore (MAS) Fairness, Ethics, Accountability, and Transparency (FEAT) Principles and the National Institute of Standards and Technology (NIST) AI Risk Management Framework, alongside established approaches to model risk, operational risk, and technology governance. Participants will also review the growing toolkit of AI control and assurance practices, including monitoring, validation, documentation, and emerging RiskTech solutions that support responsible and auditable AI deployment.
What You'll Learn
- Interpret and apply relevant regulatory and governance requirements to AI use cases
- Design and evaluate a controls framework for a specific AI solution
- Evaluate and select appropriate RiskTech solutions to address AI-related risk exposures
- Integrate AI-related risks into a broader Enterprise Risk Management (ERM) framework
Entry Requirements
Participants should be comfortable using Microsoft 365 tools (eg. Excel, PowerPoint):-
- Structure and analyse tabular data
- Interpret charts and dashboards
- Document risk assessments
Participants should have foundational familiarity with:-
- Enterprise Risk Management (ERM) concepts and risk lifecycle stages
- Three Lines Model principles (ie. risk ownership, oversight, assurance)
- Data and Technology Risk domains (ie. quality, security, privacy, resilience)
Prior exposure to Artificial Intelligence (AI), digital transformation, compliance, audit, or governance environments will be beneficial.