Description: Appendix 2 from the research report entitled 'Exploration of Reputational Risk from the Perspective of a Variety of Stakeholders.'

Description: The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.

Description: This report provides a validated, structured dataset of demographic and socioeconomic variables to support mortality heterogeneity research across geographies and population groups.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.

Description: India is in the process of updating to a more risk-based capital framework. The article provides a high level introduction of the development and discusses some of the key design and implementation considerations.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: The Society's Group Disability Insurance Experience Committee has completed their study of termination experience for the period 1997-2006.

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

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this report, a case study on climate change impact on home prices is used to illustrate a Bayesian network iterative approach to building a model for scenario analysis.