Description: In this wide-ranging session, expect updates on the work of the Individual Life Experience Committee and delve into some interesting recent research. You'll gain an update on recent findings from the Individual Life Experience Committee regarding individual life mortality experience.

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: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

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: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: As actuaries continue to advance their careers, the ability to communicate becomes more and more important. In particular, developing strong presentation skills becomes a critical success factor. Actuaries need to be able to stand in front of large and small groups and deliver information in an interesting and compelling way. Like many other skills that don't necessarily come naturally, developing strong presentation skills takes practice and preparation.

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: 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: 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.