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: 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 document is a methodology guide for the Long-Term Care Population Research Model developed by the Society of Actuaries Research Institute in November 2024. It explains the model's purpose, framework, data sources, user inputs, calculations, and outputs related to public long-term care benefits.

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: The document is about the post-wildfire drinking water crisis and its implications for the insurance industry. It discusses the contamination of drinking water systems by wildfires, remediation strategies, financial considerations for the insurance industry, and potential contributions from the actuarial community.

Description: This document is a call for essays issued by the Society of Actuaries Research Institute. It seeks submissions that explore the impact of Artificial Intelligence/Large Language Models on retirement professionals and retirees. The document provides background information, research objectives, and a list of illustrative topics and questions that the essays can address. The submission guidelines, timeline, and evaluation criteria are also outlined.

Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.

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

Description: This project models and forecasts premature cardiovascular mortality, with a focus on two main risk factors - obesity status and education attainment level. It investigates the role of obesity and education in determining age-sex-specific premature cardiovascular mortality.