Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA), and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. The Individual Life COVID-19 Project Work Group (Work Group) was formed as a collaboration of LIMRA, RGA, the SOA, and TAI to design, implement, and create the study and to produce and distribute a variety of analyses. This report is the fifth public release from this collaboration and contains the results of a cause of death analysis focused on how the rates of death for various causes were impacted throughout the pandemic period through the first quarter of 2021.

Description: The report discusses using behavioral science in redesigning life insurance underwriting questionnaires to improve disclosure rates. It includes an experimental study, industry survey insights, and discussions on application forms, behavioral science application, and organizational engagement with behavioral science in the insurance industry.

Description: The Mortality Improvement Life Working Group released a recommendation for a set of improvement factors that vary by gender and attained age to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table for AG-38 purposes.

Description: This report examines the adoption and challenges of predictive analytics in life and annuity reinsurance, including current practices, regulatory context, and advanced AI applications.

Description: Award-winning essays on addressing unwanted bias in life and annuity insurance processes.

Description: The Society of Actuaries (SOA) Research Institute’s Mortality and Longevity Strategic Research Program Steering Committee issued a call for essays to explore the application of artificial intelligence (AI) to mortality and longevity. The objective was to gather a variety of perspectives and experiences on the use of AI in mortality modeling, forecasting and prediction to promote discussion and future research around this topic. The collection includes six essays that were accepted for publication from all submissions. Two essays were chosen for prizes based on their creativity, originality, and likelihood of further thought on the subject matter.

Description: The SOA has collaborated with LIMRA, Reinsurance Group of America (RGA), and TAI on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. The data collected for this study included 2.8 million deaths from life insurance policies covering the period January 1, 2015 to September 30, 2020.

Description: This report details the 2025 HMI and FMI scale recommendations for individual life insurance mortality valuation under AG38 and VM20 using insured population data.