Description: The SOA’s Artificial Intelligence Working Group explored the role of AI in actuarial practice, focusing on risk management, regulatory compliance, and ethical considerations. The discussion highlighted the importance of the NIST AI Risk Management Framework and Generative AI Profile in ensuring responsible AI development and deployment in insurance and healthcare.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: This guide, commissioned by the Society of Actuaries (SOA) Research Institute, provides a practical roadmap for actuaries to integrate Large Language Models (LLMs) into their work effectively and responsibly. The rapid evolution of LLMs presents significant opportunities for the actuarial profession. This document helps actuaries navigate the complex LLM landscape, offering insights into their application, evaluation, deployment, and governance.

Description: This practical guide provides actuaries who develop tables from experience data with a statistical modeling framework that can be used as an alternative to traditional graduation techniques.

Description: Propose an optimal designation of zones to a given set of private/public uses.

Description: This page summarizes the annual emerging risks surveys and articles published on the surveys.

Description: With the credit interest rate floor of a cash balance plan—a simple type of option identified by the Project Oversight Group—as a model, this research uses three valuation and risk analysis approaches to explore the existing techniques to value embedded options on an economic basis.

Description: The Society of Actuaries’ Pension Section has completed a research effort exploring the value of longevity pooling and its implications.

Description: This research report is a summary of an online survey and follow-up discussions with survey respondents on the current state of actuarial modeling controls within U. S. and Canadian life insurance and annuity companies. The current state was then compared to the results from the 2012 survey on this topic to examine the evolution in actuarial model controls and governance. The report also provides an industry assessment and proposes considerations for enhancing the current state towards a well-controlled governance framework.

Description: One of the first projects undertaken by Claim Analytics was to create a model to predict return to work for group insurance claimants with long term disabilities. This report, sponsored in part by the Society of Actuaries Health Section , is a case study on creating such a model.