Explainable AI and Regulatory Compliance RFP supports researchers examining explainable AI techniques and adoption in actuarial work to make AI usable where decisions need explanation and documentation.
The Policyholder Behavior in the Artificial Intelligence Era supports researchers studying consumer AI use in life insurance to understand changes in policyholder behavior, product performance and risk.
This SOA grant funds research on how AI and large language models are changing retirement professionals' roles and retirees' experiences.
Evaluating LLMs for a P&C Actuarial Task Benchmark and Re-Evaluation Suite supports researchers building a scored benchmark and re-evaluation suite to assess language models on property and casualty actuarial tasks.
The Casualty Actuarial Society's 2026 Ratemaking Call Paper Program seeks research papers on both traditional and emerging insurance pricing topics, with a focus on innovation and practical actuarial science.