Description: When it comes to climate-related risks, what does the future hold? Will we see a rise in global temperature of 3 degrees Celsius or more, or can we keep it to less than 1.5 degrees? Will we see ambitious climate policies instituted globally in the near future, or will the status quo prevail, leading to irreversible changes to the climate and more severe physical risks? As actuaries, we are accustomed to planning for an uncertain future, but assessing the long-term impact of climate change poses a unique challenge. There are several public institutions developing scenarios like those above and others, which can help actuaries understand and assess the risks posed by a changing climate. Through scenario analysis, organizations can consider a range of possible outcomes to inform decision-making. Scenario analysis can be qualitative or quantitative, and there is no uniform framework that is currently being used by organizations that are studying the impact of climate change on their business. At the end of this session, participants will be able to: - Describe future climate scenarios. - Describe how actuaries can use scenario analysis to assess the impact of climate change and climate policies. - Explain why actuaries might use scenario analysis to understand climate risk.

Description: Join us for an insightful session on best practices in setting assumptions and margins for Life and Annuity Products. This session will explore traditional best practices outlined by the ASOPs as well as their application in the context of emerging trends and risks in 2024, such as predictive analytics and AI. The session will also cover evolving trends in assumption governance, as corporate ERM areas become increasingly involved in the assumption setting process. Learning objectives include refreshing and enhancing knowledge of existing ASOPs, as well as understanding strategies for emerging risks that the ASOPs do not yet cover.

Description: The life insurance industry is facing a rapidly changing landscape, with several emerging risks demanding the attention of actuaries and industry professionals. While actuaries commonly examine historical experience to guide our estimates of future outcomes, we are often faced with evidence that some of the forces that dictated past performance no longer persist and in some instances may even turn into contrary forces. This session aims to explore the key challenges and opportunities presented by risks with limited historical context, and discuss strategies to effectively manage them. We will delve into critical emerging risk areas, such as interest rate and asset risk, the rise of AI, climate change, predictive analytics in underwriting, and more. The session will feature speakers who are experts in managing risk, as well as results from interviews with top corporate risk professionals, such as CROs and ERM leads from major insurance and reinsurance companies. Attendees will gain valuable insights into emerging risks and practical strategies to navigate the evolving life insurance landscape.

Description: The NAIC Generator of Economic Scenarios (GOES) Project is scheduled to go live in January 2026. Over the past five years the GOES economic scenario generator has evolved significantly. Important modifications such as the flooring of interest rates and the process for initializing the time 0 interest rate yield curve has been part of this evolution. The introduction of a suitable Stochastic Exclusion Ratio Test (SERT) and associated deterministic reserve (DR) has also evolved and remains a work in progress. At this point in the GOES project, several field tests and model office results are available that provide some insight into the differences between the current AIRG model and the GOES model that is about to be introduced.

Description: Virtual - Session 2D: Navigating Risk Management in Gender - Affirming Care

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: Artificial intelligence (AI) presents numerous opportunities in the insurance and financial industries. It also comes with heightened model, operational, legal and compliance, financial, and data risk. In this session, we will discuss speculation that emerging AI capabilities have sparked the fourth industrial revolution, examine what is different about this most recent round of capabilities, and examine why industry experts warn about the heightened risks the use of AI presents. We will review a framework - which includes AI ethical principles, standards, and best practices - to govern the use of AI. This will include a cross-reference of relevant Actuarial Standards of Practice as well as industry guidance like the NAIC Model Bulletin on the Use of AI Systems by Insurers. This framework will help actuaries and insurance professionals gain confidence that - if governed appropriately - we can reap the vast rewards of using AI systems in our industry.

Description: Behavioral Science is a powerful tool to enhance customer experience and improve outcomes across the life insurance value chain. This session will cover the foundations of behavioral concepts in a life insurance context and discuss practical areas that can benefit from behavioral science including customer engagement, disclosure, and retention. The session will leverage recent SOA research and specific experience in communication campaigns and call center best practices to translate theory to quantified results. Attendees will leave with an appreciation for potential challenges and practical steps to measure and demonstrate the value of implementing behavioral science.

Description: Participate in a discussion with panelists from various functional areas andcompanies about the trend of increasing mutual attractions between private equity and insurance companies, the underlying strategic drivers from both sides, as well as the impact to both individual insurance companies and insurance industry as a whole. Take part in a conversation about the implications of insurers' obligations/changes to risk profiles and exposures when engaging offshore domicile of affiliated and unaffiliated reinsurers involved in the private equity-owned insurance business.

Description: In light of recent regulatory developments and international best practices, the Bermuda Monetary Authority has introduced proposed enhancements to the Bermuda regulatory framework for long-term commercial insurers. During this panel discussion, discuss the potential impacts of these proposed regulatory changes for existing commercial insurers and new entrants to the Bermuda life reinsurance market.