AI Risk in Financial Services
Equip financial services professionals to identify, assess and control the risks of AI across model risk, credit, customer outcomes, fraud and operational resilience, in line with Australian regulatory expectations.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Apply model risk management to AI, including inventory, tiering, validation and monitoring
- Assess AI credit decisioning against responsible lending, fairness and explainability expectations
- Identify customer harms from AI, including for customers experiencing vulnerability
- Evaluate AI fraud and scam detection for effectiveness, customer friction and drift
- Assess AI dependencies for operational resilience, including service providers and fallback
- Explain board, executive and three-lines responsibilities for AI, and APRA's and ASIC's expectations
- Build a financial AI risk register with ratings, controls, owners, indicators and regulatory mapping