Description: The first of two reports analyzing industry IDI claim incidence and termination experience trends. The report covers claim incidence trends.

Description: This report examines the risk associated with the unpredictable variation in utilization and cost of services.

Description: The Society of Actuaries (SOA) published its first COVID-19 research brief on March 10, 2020, followed by regular updates and expansions through June 12, 2020. The comprehensive report included a section of Key Statistics. This report provides updates to some of the data from the Key Statistics section of the brief and additional related data, organized by geography.

Description: Mortality Improvement Scale MP-2016 is an update to Mortality Improvement Scale MP-2015 that includes three additional years of historical U.S. population mortality data and modification of two input values designed to improve the model’s year-over-year financial stability. The page includes the updated Scale MP-2016, the accompanying Scale MP-2016 document, and an updated RPEC_2014_v2016 Model Implementation Tool for actuaries to create their own mortality improvement scales using RPEC’s model and the updated data set.

Description: The integration of artificial intelligence (AI) into actuarial practice has accelerated dramatically in recent years, potentially transforming how actuaries approach traditional tasks and creating new opportunities for professional growth. This evolution has generated significant enthusiasm about increased efficiency, deeper analytical capabilities, and novel insights that were previously unattainable. Simultaneously, it has raised legitimate concerns about skill obsolescence, appropriate governance, control limitations, and the changing nature of actuarial judgement in an AI-augmented environment. While much has been written about the theoretical possibilities of AI in insurance and risk management, there remains a gap in our collective understanding: the actual, day-to-day experiences of practicing actuaries as they navigate this technological shift. There is an interest in learning from others’ experiences in implementing AI tools, realizing benefits, encountering challenges, and understanding how AI is altering actuarial workflow.

Description: SOA Research Institute / University Partnerships for Artificial Intelligence Topics

Description: Call for essays that provide practical applications of in-depth research papers that will be published in the upcoming edition of the NAAJ.

Description: The SOA is interested in understanding how companies are performing scenario analysis, thinking through how various stakeholders (regulators, general public, competitors) could be reacting to a large-scale large-impact event over a multi-year period.

Description: This study would assess the impact of recent patient care innovation(s) on health care and the health insurance industry.

Description: Demographic challenges due to longevity increases and low fertility rates will lower economic growth as measured by GDP. By deconstructing GDP growth between population and productivity growth the article describes the problem and presents potential solutions. The article builds off an SOA research paper published in November 2023, Demographics and Productivity: Drivers of Economic Growth.