Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: This paper applies the research in Prospect Theory of Kahneman and Tversky to explain why sales of annuities lag sales of life insurance products. The author theorizes that life insurance is easier to sell because customers perceive themselves to be in the domain of losses, while potential annuity customers perceive themselves to be in the domain of gains. Kahneman and Tversky showed us that people are mostly risk averse in the domain of gains and risk seeking in the domain of losses. Purchase of an annuity or life product is a risky investment. Customers will find it easier to take the risk in the life insurance domain of losses than the annuity domain of gains. The author then proposes a hybrid life annuity product that might address both mortality and longevity risk in one product that would allow both products to be more competitive than stand-alone products.

Description: Discover the key components of value-based care (VBC) contracts and their impact on provider credibility. Learn about benchmarks, measurement period results, and the unique challenges providers face in managing insurance risk. Gain insights into reducing costs and aligning financial incentives in the US healthcare market.

Description: Are you ready to supercharge your career? Join us for an exciting webcast where industry experts will share how to leverage mentoring and networking for career success. Discover how these powerful tools can transform your professional journey, provide invaluable insights, and open doors to new opportunities. In this dynamic session, our speakers will share their personal stories and practical tips on building meaningful mentoring relationships. You’ll learn proven networking strategies to connect with influential professionals and accelerate your career growth. Don’t miss this chance to gain insider knowledge from industry leaders and receive actionable advice. Whether you’re just starting out or aiming to advance your career, this webcast will equip you with the tools and inspiration you need to succeed.

Description: In this webcast, we will speak with actuarial leaders who developed their personal brand over several years to better understand just how powerful having a personal brand can be in actuarial work.

Description: The 2023 Professionalism in Practice Course will study, discuss and explore the professionalism practice, code of conduct and application of the actuarial profession. Our speakers are seasoned presenters from mainland China. Experts will cover several issues encountered in daily actuarial working environments. Content will include business cases and interactive discussions, which aim to enrich the practical learning experience of attendees. Audience attendance will be limited in order to provide an interactive, collaborative learning experience. Early registration is highly recommended to secure a seat.

Description: This three-part series provides an overview of the rapidly evolving and dynamic gene and cellular therapy landscape, from the clinical, historical, and risk transfer perspectives. It covers the actuarial considerations in pricing cell and gene insurance and reinsurance, the value assessment of the therapies, manufacturer pricing, and reinsurance cost.

Description: The Society of Actuaries Research Institute, in collaboration with Reinsurance Group of America, Incorporated, a leading global life and health reinsurer, announced findings from new research on behavioral science for the life insurance sector. This research simulated online term life insurance purchasing to test behavioral science techniques.

Description: A news release about Nanyang Technological University being added to the SOA UCAP listing

Description: This article provides a brief overview of the current state of machine learning (ML) and artificial intelligence (AI) as they apply to actuarial science, including discussion around the integration of actuarial judgment with ML and AI. It concludes with an example of explainable ML through a python tool known as SHAP (SHapley Additive exPlanations), which is able to explain the key drivers behind individual ML or AI predictions.