Description: This paper is an introduction to AI technology designed for actuaries to understand how the technology works, the potential risks it could introduce, and how to mitigate risks.

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

Description: Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of methods for interpreting machine learning models from the growing field of Interpretable Machine Learning (IML).

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: Actuarial modeling has gone through several distinct phases largely defined by the underlying technology platform. Today, cloud computing is again redefining the technology foundations of actuarial modeling and related processes.

Description: A brief overview of recent AIT research papers in summarized format.

Description: This report explores how artificial intelligence can be applied to investment and retirement planning, highlighting real-world applications, risks, and recommendations.

Description: Discover the latest insights on emerging risks in the Indian market with our comprehensive survey report. Uncover key findings on financial volatility, disruptive technology, and climate change, and learn how AI is reshaping risk management. Compare these results with North American trends and explore the optimistic economic outlook for the India market in 2025.