Description: This session aims to equip life insurance actuaries with the insights and tools needed to prepare for and navigate the sweeping changes that generative AI is poised to bring. Attendees will gain deeper awareness and understanding of how Gen AI will impact more broadly across their organization. They will be prompted to think more broadly on the subject rather than specific use cases, to consider wider operational and human impacts of Gen AI. This will include both positive impacts, to be capitalized, and negative impacts, to be understood and mitigated. The session will also afford the opportunity for the audience to share views and join in the discussion through polling and questions, and will therefore provide attendees with an opportunity to hear how others are considering these challenges.

Description: This session will dive into how artificial intelligence is poised to reshape the actuarial profession. Attendees will learn about the potential impacts of AI on actuarial tasks. The presentation will highlight both the opportunities and challenges that AI presents to actuaries.

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: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents.

Description: We will share the latest research from the Actuarial Innovation and Technology (AIT) Strategic Research Program, with a focus on research relevant to health actuaries. Attendees will learn about leading-edge technology that has impacts on actuarial functions, both broad and specific innovations and breakthrough technology, and the resulting impacts.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that empower the insurance community to validate the accuracy of sensitive information without revealing the actual information itself. Mutation with the use of non-traditional data entering the insurance processes of customer acquisition and in-force management is currently taking place. A shift toward using non-traditional data in insurance customer acquisition and in-force management processes is currently taking place. This evolution is captured in the Australian market through surveys and interviews. Come and join us to learn about these two new research studies that open up the possibilities for the insurance industry to be more efficient in delivering its value to the society.

Description: 2022 Welcome and Strategic Themes for the Marketing and Distribution Section Council.

Description: Dive into this review on Artificial Intelligence and Machine Learning (AIML) techniques for actuarial modeling for life & annuities. Presenters will showcase learnings from the recent SOA research paper "Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling" (Nested Stochastic). The researchers will go over models and methodologies used to develop high-fidelity proxy models for various life & annuity applications.

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.