Description: The global doubling of information content has been estimated to occur at a rate of every 12 hours, and conceivably faster. This ‘infowhelm’ is a double-edged sword for insurers. While maximization of the global knowledge base can fuel innovation, it can occur only in the context of reasonable cost for a higher benefit. The insurance industry – underwriters and actuaries in particular – are challenged to constantly examine new innovations that promise to raise confidence and protective value for insurability, within legal limits. This report aims to be the first of several to alert the SOA of promising innovations for the profession.

Description: The objective of this paper is to provide a practical guide with concrete case studies to help actuaries implement artificial intelligence and machine learning (AIML) to help accelerate the speed of analysis for life and annuity actuarial modeling. We do so by researching the existing literature regarding AIML and its applicability to stochastic modeling and exploring case studies.

Description: This report is a discussion of the significant challenges involved in attempting to research with robust analysis the impact of disparities in health care access, cost and quality of care on financial wellness across racial, ethnic, socioeconomic and other demographic groups in the U.S. for reasons other than or in addition to income, wealth or employment status.

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries Research Institute as it pertains to development of mortality improvement assumptions for measuring obligations of retirement programs in the United States.

Description: This is the Demographic Perspectives on the Rise of Longevity paper authored by Marie-Pier Bergeron Boucher, James W. Vaupel and Francisco Villavicencio for Session 4A of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the Retirement Strategy Metrics paper authored by Mark Shemtob for Session 2B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: The Society of Actuaries released research in 2007 that develops a model for a U.S. individual life insurance company to consider its potential liability exposure as a result of a pandemic. Sponsored by the Mortality and Longevity Strategic Research Program Steering Committee, this paper updates several model assumptions including mortality in light of COVID-19.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.

Description: Research report describing the results of an Emerging Risks Survey conducted in 2015. The report includes comparisons to the previous surveys.

Description: This report is sponsored by the Society of Actuaries in collaboration with Ernst & Young. It examines the application of stochastic modeling techniques to non-market risks facing the life insurance industry.