News

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 announcement of the recipients of the 2026 Individual Research Grants Competition contains an error.

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.

The Casualty Actuarial Society’s Artificial Intelligence Working Group is seeking research proposals that examine how Large Language Models (LLMs) can be deliberately adapted to support core actuarial reasoning in property-casualty insurance.

The Casualty Actuarial Society (CAS) invites researchers from inside and outside the insurance industry, with expertise in customer segmentation, to prepare a proposal for a property-casualty insurance research project that explores utilizing customer lifetime value in insurance pricing.

The Casualty Actuarial Society (CAS), through its Climate and Sustainability Working Group, is soliciting research proposals and awarding up to two projects.

In response to its 2025 request for proposals on forecasting future loss payments from policies sold in the past, the Casualty Actuarial Society (CAS) has selected the research project "Future Loss under Inflationary Dynamics" for development.