Description: Summary of an expert roundtable on generative AI in healthcare and health insurance, focusing on use cases, governance, trust, risks, and evolving actuarial skills.

Description: This project examines how companies perform deterministic scenario analysis, focusing on a worldwide IT disruption and its operational impacts. It highlights the use of table-top exercises to estimate direct and indirect effects, leveraging senior managers' experience.

Description: A multi-author collection exploring how catastrophe modeling can be adapted to life and health insurance, particularly in response to the 2025 Los Angeles wildfires.

Description: Navigate complexities of retirement financing considering longevity's impact. Use these tools to help differentiate longevity from life expectancy and avoid outliving financial resources.

Description: This collection presents three essays analyzing the multifaceted impacts of AI and LLMs on retirees and retirement professionals, blending quantitative, philosophical, and forward-looking perspectives.

Description: Through research projects and professional interest section-related efforts, the Society of Actuaries (SOA) develops tools and resources to help support actuaries' work.

Description: Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations.

Description: Because of the short-term nature of most health insurance products, the sophistication of insurers’ capital modeling tends to lag that of longer tailed life insurers. Additionally, some health insurers treat required capital modeling as a compliance exercise. However, there is considerable value to insurers who take more thoughtful approaches to capital modeling and integrate their capital modeling outcomes into the strategic decision-making process. Gain an overview of common required capital measures, including the advantages and disadvantages of each, and see a demonstration on how some capital measures are deficient for strategic decision-making. In the second half of the session, you will examine a case study of the considerations, design, implementation, challenges and outcomes of integrating a complex economic capital model into the strategic decision-making process.

Description: Hear an overview of recent results and potential scenarios that may impact the future of the ACA market. Review recent reported industry level profitability before transitioning to a discussion of how current market dynamics may influence the future profitability of this segment. Results from microsimulation economic models will be presented to help illuminate market shifts. Issues that will be explored include how ICRA availability might influence individual decision making, as well as how a move to level funding is impacting the small group market.

Description: Paid Family and Medical Leave (PFML) benefits have expanded rapidly in recent years as an increasing number of states have required employers to provide these benefits to their employees. Examine recent developments in PFML benefits, for example, the presenters will provide information on which states are introducing or considering PFML programs, what types of benefits are provided, what types of data is available to monitor experience, and what challenges programs have encountered.