Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: This report evaluates the long-term mortality consequences of the COVID-19 pandemic from a cohort-based perspective using historical mortality data.

Description: This report explores AI bias in insurance and health data, highlighting the ethical role of actuaries and offering cross-disciplinary guidance for fairer decision-making systems.

Description: This report analyzes insurance product design, morbidity trends, and pricing models for individuals with pre-existing illnesses in China to improve coverage for substandard health populations.

Description: An analysis of U.S. mortality trends by socioeconomic category from 1982 to 2023, emphasizing the continuing effects of the COVID-19 pandemic on mortality disparities.

Description: This project enhances the current understanding of cyber risks in the smart home ecosystem from the insurance industry's perspective. In particular, the quantitative framework and pricing strategies developed in this project can be immediately adopted/adapted by actuaries to price the cyber risks for smart homes, a fast-growing insurance market.

Description: As results emerged showing the influence of COVID-19 on recent mortality, the Society of Actuaries Research Institute’s Mortality and Longevity Strategic Research Program Steering Committee (MLPSC) began to ponder what it means for the future. Was the coronavirus pandemic just a temporary shock to U.S. mortality with mortality quickly returning to prepandemic levels upon its conclusion or a lingering factor in future U.S. mortality from the potential occurrence of new coronavirus variants, post-COVID-19 conditions (“long COVID”), deferral of needed health care treatment, a fatigued health care system and other elements? Only time will provide the answers to these questions.

Description: This report covers the latest emerging trends in U.S. population mortality. The SOA relied upon data furnished by the Centers for Disease Control and Prevention (CDC). Observations are based on the CDC’s recent release of 2020 mortality experience, along with prior mortality experience data from 1999 through 2019.

Description: In today’s business world, many financial decisions undergo considerable analysis before the decision is made and the decision-maker is often held accountable for the outcomes. The purpose of this research is to introduce the concept of total risk analysis (TRA), which is designed to help the decision-maker answer key questions at the time the decision is made. This paper will focus on a specific example of a typical healthcare decision: setting a budget for claims in the upcoming year. In addition to explaining TRA and providing a case study, this paper presents quantitative research regarding cost distributions for health care costs.

Description: Credibility is a mechanism for estimating a quantity of interest by combining subject experience and relevant experience to improve the estimate.