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 documents updates to the Canadian mortality data in both the Human Mortality Database and the Canadian Human Mortality Database, including new data for 2022–2023.

Description: This study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through accurate building location data. It introduces new methods like structure footprints and high-resolution elevation information to enhance underwriting, rating, and claims settlement. The study includes two case studies: one on flood risk in Hillsborough County, Florida, and another on wildfire risk in three California communities, demonstrating the significant impact of precise location and elevation data on risk assessment and insurance premiums.

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: Series of infographic to help individuals understand how life expectancy and the decisions they make impact their plans for a happy, healthy and well-funded retirement.

Description: This web page contains the 2011-2014 Group Annuity Experience Report and Pivot Tables.

Description: This web page contains the 2011-2014 Group Annuity Experience Report and Pivot Tables.

Description: This report presents the results of the Survey on the Business Decision practices of direct companies conducted by the Society of Actuaries Committee on Life Insurance Mortality and Underwriting Surveys. A survey of reinsurers is reported separately.

Description: This study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?