Description: Technology has streamlined countless processes in our daily lives, and insurance is no stranger to this transformation. Technology can make insurance simpler and more personal for consumers, and can enable actuaries to better analyze unstructured data, make good decisions, create new products, and find channels to enhance profitability, provided they can tame the flood of information pouring in from across the digital ecosystem.

Description: The expanded use of predictive models, algorithms, and external consumer data has drawn the attention of the life insurance industry to the matter of fairness and bias in underwriting, including proposed regulation in states like Colorado and New York and a draft NAIC Model Bulletin. Insurers will benefit taking a proactive approach to verifying that their practices, both current and future, do not result in unfair discrimination. This session will help attendees in understanding potential requirements and reporting insurers must address, techniques and tools for evaluating bias, and challenges in doing so. At the conclusion of the session, attendees will be able to: - Understand proposed regulation and practices regarding fairness and bias - Identify tools and techniques for evaluating bias in their processes - Discuss the challenges the industry will face in addressing fairness in underwriting

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: In this session, actuaries and data scientists will describe how the Cleveland Clinic has utilized large language models to support caregivers with difficult end of life conversations with patients and their loved ones. While artificial intelligence is often prefaced with words of caution, it can also be harnessed for good.

Description: The Society of Actuaries (SOA) Research Institute’s Mortality and Longevity Strategic Research Program Steering Committee established a call for essays series to gather a variety of perspectives on the application of AI to mortality and longevity. The objective of this call for essays, the second in the series, is to create a resource that focuses on the use of AI to potentially extend human longevity and the implications for modeling future survival/mortality.

Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: SOA predictive analytics certificate program provides strong theoretical background and practical, hands-on experience that can be applied to decision making

Description: It comes as no surprise that there has been a great deal of activity by regulators in trying to understand the evolution of UW and the use of data. CO, WA, DC, CA, and on and on. But, where are we now? What is the latest activity? What are the technical issues that need to be considered? What testing protocols should carriers be preparing? How do you know what to look for with respect to fairness concerns? How do you prepare your company to test and if necessary defend your data practices? Join this panel discussion, where they will bring varying perspectives from some of the industry's leading voices on this topic.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.At the conclusion of the session, attendees will be able to avoid drawing inappropriate statistical conclusions, while doing their work. They will leave informed about the types of pitfalls that exist, and where those might come into play in actuarial work.