This session focused on the emerging convergence of supervisory principles and frameworks related to the governance and ethics of artificial intelligence and machine learning (AI/ML) applications in the insurance sector. The panel considered how this affects product development, pricing and underwriting, and claims handling. Panellists looked at how these governance frameworks could address inherent biases in underlying AI/ML models in terms of diversity, equity and inclusion. The session drew on work developed by an AI/ML subgroup of the IAIS FinTech Forum. Moderators:  Laurent Dupont, Senior Data Scientist, Fintech-Innovation Hub, Autorité de contrôle prudentiel et de résolution Nick Silk, Technical Specialist, Insurance Analytics Division, Prudential Regulation Authority, Bank of England Panellists: Jon Godfread, Insurance Commissioner, North Dakota Shân M, Millie, Founder, Bright Blue Hare; Innovation and Customer Lead, GreenKite; Coaching Director, EDII Gwilym Morrison, Head, Analytics & Data Science, Royal London Leslie Teo, Managing Director, Data and Strategic Transformation, Great Eastern Life Insurance