Research
The Casualty Actuarial Society (CAS) has published “Quantifying Social Inflation in Liability Insurance with Advanced Statistical Methods,” new research that introduces a statistically rigorous framework for measuring social inflation, one of the insurance industry's most closely watched trends.
Christophe Dutang, Giorgio Alfredo Spedicato, and Quentin Guibert have won the 2025 Variance Prize for their Variance paper, "Adjusting Manual Rates to Own Experience: Comparing the Credibility Approach to Machine Learning."
The Casualty Actuarial Society (CAS) has released the second edition of The CAS AI Primer: Practical Guidance for Actuaries, expanding its guidance to reflect the rapid evolution of artificial intelligence and its applications in actuarial practice.
The July/August 2026 issue of Actuarial Review explores how artificial intelligence is reshaping the insurance industry and the actuarial profession.
The announcement of the recipients of the 2026 Individual Research Grants Competition contains an error.
Artificial Intelligence (AI), CAS News, Membership / Notices to Members, Press Releases, Publications & Research, Research
The Casualty Actuarial Society is pleased to release The CAS AI Primer: Practical Guidance for Actuaries, a concise, practitioner-focused resource designed to support actuaries in the responsible use of artificial intelligence.
The Casualty Actuarial Society (CAS) has released a new research paper, A Quantitative Approach to Evaluate Climate Change Impact on Typhoon Risk with a Case Study in the Western North Pacific Basin.
The CAS Research Council is pleased to announce that the following data sets are now available to authors interested in working on CAS research projects.
