Description: Emerging Risks Survey: Guide for Use

Description: This is the key findings research report for the fifteenth Emerging Risk Survey

Description: The Chinese insurance market is grappling with product innovation, business growth and regulatory oversight as it tries to keep pace with a sharp growth in demand across product segments. In this context, the authors have highlighted insurance trends in China, based on available research and literature, with a particular focus on topics that will drive the enterprise risk management (ERM) function of insurance companies. ERM provides an opportunity for insurers to identify and mitigate potential insurance risks by enhancing their policies and risk management activities. This report explores the insurance trends in detail, drawing on findings from interviews of practitioners in the Chinese market, to provide context for the drivers of ERM transformation.

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 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 paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is hoped that it will encourage wise application of fuzzy logic models to risk modeling.

Description: This research study was designed to answer the following questions: 1. What are the most commonly occurring risk categories? 2. What are the most commonly occurring risk subcategories? 3. What are the most commonly occurring individual risks? 4. Which individual risks tend to make front-page news? 5. Which risks generate the most extensive coverage in the form of repeat articles? The scope was defined as significant downside risk events experienced by Canadian nongovernmental organizations as reported in the first 10 pages of either Section A (Front) or Section B (Report on Business) of The Globe and Mail in a 2012 weekday (Monday-Friday) edition, as recorded in their online archives (“GlobeArchives”).

Description: A primer on extreme event modeling and mitigation for practitioners, it covers the complete cycle of extreme event risk management, from identifying experience data sources, to extreme event detection, to modeling and dependence analysis, and finally to monitoring and mitigation.

Description: This paper discusses a theoretical framework for Enterprise Risk Management, risk dynamics within property-casualty insurance companies, empirical findings on widely used risk models, and examples of effective risk models.

Description: This report presents the major findings from the eleventh annual Emerging Risks survey.