Description: Model design is an important part of being an actuary, and the SOA highlights the importance of the actuarial control cycle of model design, evaluation and monitoring. What tools are at our disposal for these steps? When should we be concerned or excited about model performance? Can we, and should we, use machine learning tools to assist with model improvement or development?

Description: Walk through real-life examples of how artificial intelligence can be used to drive insights and aide actuaries in improving the management of their company’s inforce book of business. A panel of experts will walk through case studies of how, as practitioners, predictive analytics provided solutions to tap further into their data and draw improved insights.

Description: This session will present the results of a case study investigating the impact of genetic testing on the reduction of health care costs. This will present both actuarial and clinical analysis of genetic testing in addition to researchers who are applying this approach.

Description: Dive into the basics of Generative AI (including Large Language Models and ChatGPT), why it is important, and how might it potentially affect how people and actuaries perform their work. After a brief introduction, you'll walk through some live demonstrations of the technology followed by interactive breakout discussions on how the technology might impact each attendee's work. You will also culminate in a summarization of the breakouts, discussion of implications for the profession, as well as precautions to take when using the technology. Come discover the basics of the technology and its implications for the work performed by actuaries. They will also learn, via the live demonstration, how to access ChatGPT (or similar platform) and will follow along how to generate outputs from the application based on some example inputs provided. Take away some resources from which you can learn more about Generative AI, Large Language Models, ChatGPT, etc.

Description: How are regulation and innovation intertwined? How to regulate artificial intelligence/machine learning in the insurance industry? We will cover how regulators are striking the balance between protection of their constituents and supporting innovation. We will zoom into the case of predictive analytics and the regulatory attempt at avoiding undue discrimination. Let's discuss what this really mean.

Description: Meet Dorothy Andrews. As a consulting actuary at Merlinos & Associates, Dorothy leverages her knowledge in statistical and data analytics, which she acquired through a variety of diverse experiences.

Description: This session is an in-depth interview of two actuaries turned Artificial Intelligence (AI) experts. We aim to have a conversation that gleans into each of their journeys and what led them to the path they are now on. We will open up the last ten minutes for audience questions. At the conclusion of this session, attendees will know Eric and Joe much better, have an understanding of what AI/machine learning/data scientist work is like for actuaries, and, for those who are curious to get more involved with AI, some encouragement to pursue their interests.

Description: An introductory article describing how Bayesian statistics has evolved over the past 20 years and why it offers the actuarial discipline powerful tools to better understand and manage risk. Compared with traditional (frequentist) and black-box (machine learning) approaches, Bayesian analysis provides explainable models focused on distributions of estimates instad of simply point estimates.