Description: Questionnaire section

Description: Questionnaire section

Description: The document explores how AI-supported underwriting influences mortality slippage in accelerated underwriting and evaluates real-world applications, risks, and industry impacts.

Description: The overarching objective of this research project is to explore the connections between mental health and mortality, as well as the influential factors present during the various phases of this continuum. The project analyzes SAMHSA mental health treatment data and BRFSS survey response data, as evidence for change in the approach to mental health services and insurer underwriting. For life insurers, more complete data on SDOH, lifestyle habits/behaviors, and mental health diagnoses may help with the identification of the appropriate insurance product. Having details on diagnosis and clear treatment history may make the difference between denial of coverage and offering a different insurance policy/plan (term or reduced term policy instead of whole life).

Description: Short Form Professional Development Videos - Stat vs. economic frameworks  Recording

Description: Heavy calculations are needed for life insurance financial reporting and ALM modeling requirements. Actuaries need to work with IT to weigh in on various approaches like optimized grid-computing set up vs. modeling approximation to deliver the required reserve calculation results on time at a reasonable cost. This webcast will explore the cost benefits of some of the techniques, which helps actuaries in their discussion with their IT counterpart.

Description: Short Form Professional Development Videos - Mortality Study  Recording

Description: Impact of Family Structure on Aspects of Retirement

Description: Questionnaire section