Description: Actuarial functions are being asked to do more with less: being challenged to provide more value to the business through applying insight and foresight. This article examines ways in which actuaries can provide business insights with very limited investment. The article provides actionable steps that actuaries easily apply to their daily work.

Description: Large SEC US GAAP filers implemented LDTI 1/1/2023. Other insurance companies have until 1/1/2025. Learn more about those companies with a 2025 implementation date. What do these companies need to know? What can be learned from the 2023 implementers? What are the biggest hurtles to implementation?

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, including Colorado's proposed regulation requiring a governance and risk management framework for life insurance carriers' use of external consumer data and information sources, as well as algorithms and predictive models using such data. Recent proposals are more far-reaching than existing requirements in states that have put up guardrails for the use of new data sets and algorithms, especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: Guarenteed Minimum Benefits of type x (GMxB) riders under ASU 2018-12, the Long Duration Targeted Improvements (LDTI) guidance, are now classified as Market Risk Benefits (MRBs). There are several acceptable approaches for calculating the MRB balance on a block of GMxBs. Depending on the product provisions, certain approaches may be more desirable than others. IThis session will give you the opportunity to examine different strategies for calculating the MRB liability for GMxB riders under LDTI.By the end of the session, you will understand the pros and cons of the several approaches permitted for calculating the MRB balance on a block of GMxBs.

Description: Discuss how to treat experience that is impacted by COVID-19 (e.g., 2020+) as well as expected experience moving forward in terms of excess deaths related to COVID and non-COVID topics. The session will also cover how the COVID period has impacted lapse/surrender behavior and the trends that we can expect going forward. Learn about various techniques of adjusting experience for the impact of COVID and the considerations in using such experience and setting a best-estimate assumption going forward. For mortality, the discussion will include both base mortality as well as future mortality improvement and the intersection of both of these.

Description: Speakers provide insights for adjusting historical and future mortality for COVID-19. Recent Society of Actuaries research examining historical U.S. population mortality by socioeconomic category and methodologies for removing the impact of COVID-19 from mortality rates will be presented. Additionally, results from an expert opinion survey on COVID-19 and future mortality will be discussed. Thoughts on how companies are utilizing external and internal sources to modify mortality assumptions/models for COVID-19 will be shared.

Description: Dr. Kimberly Harden helps organizations shift from a traditional diversity model to one that emphasizes diversity, interpersonal communication, and talent management. She will discuss topics on bias and how to be your authentic self in the workplace.

Description: Dr. Erica Thompson, author of “Escape from Model Land” will discuss how to tackle data bias in models. She is an Associate Professor of Modelling for Decision Making at University College London, Department of Science, Technology, Engineering and Public Policy.

Description: Go over how the actuarial processes have changed over the past 10+ years with the move to PBR, US GAAP LDTI, IFRS 17 and other emerging requirements.