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

Description: Learn more about improving the modelling of individual decisions. This paper explains the concepts of hyperbolic discounting and provides a tool for improving the modelling of individual decisions.

Description: Based on work performed by Bob Howard, a former member of RPEC, the SOA developed a spreadsheet-based program that allows users to create a customized mortality improvement scale using the RPEC_2014 model. The RPEC_2014_v2018 model found here is a new version of the tool updated by the SOA and RPEC to reflect historical U.S. mortality experience through 2016. The tool can be used to model different assumption sets while utilizing the same methodology underpinning the development of Scale MP-2018.

Description: The Society of Actuaries (SOA) Research Institute’s Individual Annuity Experience Committee (IAEC) and LIMRA are soliciting surrender/lapse, withdrawal, living benefit utilization, annuitization, and premium deposit experience for fixed indexed annuities (FIAs) both with and without a guaranteed living benefit offering for contract year 2023 (from contract anniversaries in 2023 to contract anniversaries in 2024).

Description: Results of the 2005 inter-company study of expenses for individual life and annuity business conducted by the SOA’s Committee on Life Insurance Company Expenses, CLICE.