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 project examines how companies perform deterministic scenario analysis, focusing on a worldwide IT disruption and its operational impacts. It highlights the use of table-top exercises to estimate direct and indirect effects, leveraging senior managers' experience.

Description: Listing and description of key articles in August 2011 issue of Risk Management. Topics include Predictive Modeling, Risk management and Solvency II.

Description: Short for Chartered Enterprise Risk Analyst, this new international credential encompasses the most comprehensive and rigorous validation available for enterprise risk management.

Description: This report focuses on the risks of change in the insurance industry and adapting to the "New" New Normal. It includes survey results, analysis, and discussions on various risks affecting the industry in the current environment.

Description: The Casualty Actuarial Society, the Society of Actuaries Research Institute, the Society of Actuaries Joint Risk Management, Reinsurance and Financial Reporting Sections are pleased to make available key findings from the 2022 Emerging Risks Survey, the sixteenth in the series. Conducted by Max J. Rudolph of Rudolph Financial Consulting LLC, the survey incorporated a set of Emerging Risks defined by the World Economic Forum as the basis for several of the questions. The survey also included questions related to current risk management topics.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: In this article, the section chairperson talks about some challenges that are presenting the actuarial profession, and Risk Management professionals and how to turn them into new opportunities for business.

Description: Artificial intelligence is no longer an emerging technology — it is rapidly becoming the core engine of risk selection, pricing, underwriting, and customer interaction across insurance and financial services. But as models evolve into autonomous agentic systems and decision pipelines become more complex, traditional guardrails are being stress-tested like never before.