Description: The Mortality and Longevity Strategic Research Program Steering Committee (MLPSC) released this report, which examined the latest trends in obesity and developed an estimate of the impact of obesity on mortality and morbidity costs in the U.S. and Canada.

Description: COVID-19 has changed the lives of most Americans and there are very important issues for retirees and near-retirees to consider.

Description: The SIPF is issuing this call for essays to further explore the role of SI in providing health care coverage in the U. S. In issuing this call for essays, the SIPF aims to gather perspectives, opinions and data on the possible short and long-term consequences of current health-related SI programs and potential future ones.

Description: This is a discussion of the Life–Cycle Model, findings from behavioral finance, managing risks post–retirement, the role of government, software and some perspectives on the future.

Description: Interview with new incoming Chair of the Reinsurance Section

Description: 2021 Life Meeting - Session 3F: LDTI - Disclosure Production Deep Dive 8.30.21 Recording

Description: An attorney and a statistician will discuss the latest on GenAI, the AI regulation and litigation affecting the use of AI in insurance. Some of the topics that will be covered include: How generative AI works, Risks of generative AI systems, Use cases for AI, Regulatory trends, Litigation trends

Description: Quantify the impact on health care costs of specialty drugs and evaluate scenarios for future emerging specialty drugs.

Description: Web page for posting of research report identifying considerations for actuaries and annuity insurers in determining the actuarial present value of additional benefits for computing required minimum distributions under a deferred annuity contract. The paper discusses types of benefits covered under Treasury Regulation Section 1.401 a9–6, Q&A–12 as well as possible assumptions and methods for calculating the actuarial present values of additional benefits provided under an annuity contract.

Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.