Description: Research study on using agentic AI to automate and govern end-to-end actuarial workflows—modeling, reserving, pricing, valuation, and compliance—while meeting standards for reliability, explainability, bias, and regulatory alignment.

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 collection presents three essays analyzing the multifaceted impacts of AI and LLMs on retirees and retirement professionals, blending quantitative, philosophical, and forward-looking perspectives.