Description: Syllabus for Statistics for Risk Modeling Exam—May 2026

Description: Learning more about the Pre-Actuarial Foundations Module by reading the module introduction and objectives.

Description: SOA Research Institute 的精算创新与技术（AIT）项目指导委员会开展了本次调研，本次调研的对象为来自全球的五百余名 SOA 会员，报告于2025年10月正式发布。本次调研旨在全面评估 SOA 精算师协会会员对生成式人工智能（Gen AI）的接纳度、应用现状及关注度；并通过深入剖析行业面临的挑战、机遇与未来趋势，为精算领域的科学决策与战略部署提供有力指导。 本调研计划在长期内每年开展一至两次，以追踪 SOA 会员 Gen AI 的使用情况、观念认知及行业准备度如何随时间的演变。每一轮调研都将提供更新的基准数据，并突出精算界内涌现的新趋势。此次初步调研的结果描绘了精算行业如何适应 AI 快速演变。受访者根据从业年限被分为三类：10年及以下、10年以上以及未知。

Description: Summary of an expert roundtable on generative AI in healthcare and health insurance, focusing on use cases, governance, trust, risks, and evolving actuarial skills.

Description: This session will provide an in-depth exploration of model governance, with a particular focus on its relationship to model architecture and its role in fostering resilient, scalable models. We will examine key architectural principles—including scalability, flexibility, modularity, and standardization—and their impact on model reliability and maintainability.We will also highlight the benefits of conducting Architecture Reviews and introduce a development philosophy centered on writing resilient code, building trustworthy models, and implementing structured governance to mitigate risks and technical debt.Beyond architecture, we will take a broader look at model governance, outlining key roles, approval processes, and documentation standards that promote accountability and transparency. Drawing from real-world experience, we will share practical strategies for operationalizing governance and architectural best practices within a production environment, highlighting how these approaches support sustainable, scalable modeling frameworks.The session will also explore the consequences of weak governance—such as inefficiencies, compliance gaps, and audit vulnerabilities—underscoring the importance of proactive, structured oversight.Additionally, we will cover the latest regulatory updates relevant to actuarial model governance, including OSFI’s Draft Guideline, updates in AI-related regulation, and the BMA’s Consultation Paper on model validation.By the end of the session, attendees will gain practical insights into building and implementing governance frameworks that enhance model oversight, support regulatory compliance, and drive long-term sustainability in actuarial modeling.