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 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: 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.

Description: This report captures expert insights from a March 2025 roundtable on how generative AI is shaping actuarial work and insurance industry practices.

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.