Model Risk Management and Ethical AI Adoption

This webinar brings together two critical themes shaping the future of actuarial work: model risk management and the ethical adoption of AI.

Matthew Byrne opens the session by examining key model risks with a focus on emerging risks from AI and complex models. He shares practical insights from real-world experience on model risk management. The session also discusses the evolving role of actuaries in leading model risk management and ethical AI adoption.

Fei Huang follows with a comprehensive framework for ethical AI adoption in actuarial practice, aligned with the AI lifecycle—from problem definition and data collection to modelling, evaluation, and deployment. She maps these steps to the actuarial control cycle and offers practical guidance and research resources for actuaries designing or reviewing data-driven decision-making. Case studies illustrate common pitfalls of AI and black-box models, along with strategies to mitigate risk and support responsible adoption.

Speakers: Matthew Byrne and Dr. Fei Huang
Moderator: Tim Bishop