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 paper offers a technical overview of the mechanics of Generative AI, with several actual examples throughout. It is intended to be a practical introduction to the concept, not a comprehensive view.

Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: This document is from the March 2025 edition of the SOA Research Institute AI Bulletin, focusing on artificial intelligence initiatives within the actuarial community. It includes articles on strategic principles, professional development products, NAIC updates, and tips for prompting the language model.

Description: The document is a collection of essays titled "The Impact of Artificial Intelligence on Retirement Professionals and Retirees" published in August 2024 by the Society of Actuaries Research Institute. It explores the implications of AI and large language models on retirement planning, providing insights and discussions on the topic.

Description: This document is a Request for Proposals (RFP) for research studies related to Model Governance/Ethics for GenAI Models in the context of the life insurance industry. It outlines the background, scope of work, proposal requirements, selection process, submission guidelines, and conditions for potential research projects.

Description: This collection presents three essays analyzing the multifaceted impacts of AI and LLMs on retirees and retirement professionals, blending quantitative, philosophical, and forward-looking perspectives.

Description: This study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through accurate building location data. It introduces new methods like structure footprints and high-resolution elevation information to enhance underwriting, rating, and claims settlement. The study includes two case studies: one on flood risk in Hillsborough County, Florida, and another on wildfire risk in three California communities, demonstrating the significant impact of precise location and elevation data on risk assessment and insurance premiums.

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.