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: The purpose of this report is to examine, from an actuarial perspective, how well current evaluation techniques serve the needs of key decision-makers, such as payers, providers and consumers, and to provide guidance on how to apply the various techniques during the decision-making process. This evaluation will be based on two assessments prepared by the sponsor of this research, the Peterson Health Technology Institute (PHTI), a nonprofit initiative that provides independent evaluations of innovative digital health technologies to improve health and lower costs. Using evidence-based research, PHTI analyzes not only the clinical benefits of a new technology and its potential financial impact, but also the impact on equity, privacy and security.

Description: This is a collection of essays on this topic published by the Society of Actuaries Research Institute in 2024 which discusses the risks emerging from artificial intelligence (AI) widespread use, including short-term risks like privacy erosion and economic disruption, as well as long-term risks like existential threats and biased decision-making.

Description: The report is a framework for digital asset risks with insurance applications authored by Zhengming Li, Jianxi Su, Maochao Xu, and Jimmy Yuen. It discusses the growth and risks of digital assets, focusing on cyber risks and the development of insurance products to manage those risks.

Description: This report discusses the use of federated learning in the insurance industry and explores the benefits and challenges of this approach.

Description: Bias Awareness in Model Governance

Description: This primer paper seeks to introduce and update the actuarial profession to the topic of insurance policies and genetics and study the impacts on insurance and potential responses.

Description: To expand our understanding of the theory of behavioral economics and its application to life and health insurance policyholder and annuitant behavior, the Society of Actuaries' Committee on Knowledge Extension Research, Committee on Life Insurance Research and the Financial Reporting Section issued a call for papers, inviting actuaries, academics, economists, psychologists, sociologists, researchers and other professionals to explore this topic from a variety of perspectives.

Description: This is a report that summarizes a Survey of Life Insurance Utilization of Automated Underwriting Systems. It was sponsored by the Committee on Life Insurance Research, Marketing and Distribution and Product Development Sections of the Society of Actuaries and the research was conducted by Deloitte. The report covers many aspects of how much industry interest there is for automated underwriting systems, the goals life insurers seek to accomplish in using them, how the automated systems function, and how successfully they perform.

Description: This is a research paper titled "Searching for Simplicity: Using Behavioral Science to make Life Insurance Product Information Simple and Effective" published by the Society of Actuaries Research Institute in August 2024. It explores improving customer comprehension of life insurance products using behavioral science.