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 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: 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 is a research paper titled "Searching for Simplicity: Using Behavioral Science to make Life Insurance Product Information Simple and Effective" published by the Society of Actuaries Research Institute in August 2024. It explores improving customer comprehension of life insurance products using behavioral science.

Description: This report is a comparison document discussing the regulatory frameworks for non-discriminatory AI usage in the insurance industry across different jurisdictions, including the United States, European Union, China, and Canada. It highlights current developments and regulatory bodies relevant to AI regulation in each region.