Transparent Machine Learning Applications in Tariffed and Detariffing Insurance Markets

This white paper explores how traditionally regulated insurance markets and those undergoing detariffication can leverage machine learning for pricing. It is particularly relevant for pricing teams in the Asia-Pacific region, where motor and property insurance are often subject to strict regulation, and in other markets worldwide that face pricing constraints for ethically sensitive products, such as health or mandatory insurance lines.