Description: The Society of Actuaries Research Institute (SOA) is interested in collecting thoughts and perspectives on specific opportunities for avoiding or mitigating potential unwanted bias in the products and processes associated with life and annuity insurance processes. Results of this call for essays are intended to meet two objectives: (1) Increase awareness of the potential for unwanted bias that may exist in a specific process, part of process, or method that may currently be used in any point along the entire product value chain for life or annuity insurance products; and (2) Offer methods, techniques, procedures, or approaches for eliminating or reducing the likelihood that unwanted bias could exist in that specific process, part of a process, or method.

Description: The Society of Actuaries (SOA) Research Institute’s Long Term Care Experience Committee (LTCEC) and LIMRA are soliciting claim incidence, termination, and utilization experience for stand-alone Long Term Care Insurance (LTCI) policies for contract years 2000 through 2023.

Description: Understanding how to effectively adopt AI is critical to staying competitive. This session will guide you through the five stages of AI adoption, with a deep dive into two key stages: Operational Optimization and Collaborative AI Integration. You will learn how to harness AI to streamline operations and boost efficiency, while also exploring the nuances of integrating AI in decision-making to enhance outcomes through human-AI collaboration.If you are seeking practical insights on maximizing AI's benefits while maintaining human oversight, this session will provide the tools and strategies to help you do just that—ensuring that your AI adoption journey is both effective and aligned with your business goals.

Description: The overarching objective of this research project is to explore the connections between mental health and mortality, as well as the influential factors present during the various phases of this continuum. The project analyzes SAMHSA mental health treatment data and BRFSS survey response data, as evidence for change in the approach to mental health services and insurer underwriting. For life insurers, more complete data on SDOH, lifestyle habits/behaviors, and mental health diagnoses may help with the identification of the appropriate insurance product. Having details on diagnosis and clear treatment history may make the difference between denial of coverage and offering a different insurance policy/plan (term or reduced term policy instead of whole life).

Description: This session will guide you through the process of constructing a tailored capital stack, revealing how to effectively allocate capital for new opportunities. Additionally, we will build upon the key findings from our whitepaper, “Structured Reinsurance: Impact on Health Pricing.” Don’t miss this chance to gain practical insights that can empower your organization to excel in the dynamic health insurance landscape.

Description: This introduction to Captive Insurance Companies will provide an overview that includes the history of captives, different types of captives, common applications, how captives work, why employers form or join a captive, and a Medical Stop Loss Group Captive case study.

Description: Short Form Professional Development Videos - Stat vs. economic frameworks  Recording

Description: With a quickly changing set of actuarial tools and practices emerging through artificial intelligence, technology regulations, Actuarial Standards of Practice, and more, it’s important to learn and discuss how to maintain professionalism in actuarial work and in consideration of the SOA Code of Conduct. Come to this session to learn about a variety of emerging topics, discuss case studies, and interact with other attendees to share your perspectives on maintaining a professional approach to valuation topics.By attending the session, you will be able to:· Apply actuarial professionalism concepts.· Identify key ASOPs and Code of Conduct Precepts for actuaries.· Learn about statistical methods and bias.

Description: This interactive webcast uses case studies and a new framework to show how retirement plans and practices can be fitted to best serve organizations’ missions and objectives, guided by data and analytics measuring their workforce impact.

Description: Explore the dynamic intersection of health insurance data and diverse industries beyond traditional health insurance providers. This session will delve into how life science companies, pharmaceutical manufacturers, device manufacturers, and others leverage health insurance data to drive innovation and decision-making.