Description: This article provides an overview of the current Artificial Intelligence ("AI")/Machine Learning ("ML") regulatory landscape and governance considerations for insurers deploying AI/ML for their long-term care business.

Description: This report and the accompanying Excel model are intended to be used in their entirety by qualified actuaries setting rates or evaluating rates for Medicaid Managed Care programs to develop the underwriting margin component of the capitation rates.

Description: ARCH is an informal electronic publication presenting current actuarial research, which the Education and Research Section of the Society of Actuaries offers to members and friends of the actuarial community. Unlike most professional presentations, ARCH is non-refereed. ARCH has as its primary goal speedy dissemination of current thinking and aids to research rather than the publishing of thoroughly edited papers. While primary emphasis is on distribution of short notes or papers on specific research topics ARCH also acts as a clearing house for items embodied in letters between researchers, useful computer programs (or announcements of the availability of such programs), translations of appropriate material in foreign languages, problems, solutions, etc.

Description: This article is an update on the No Surprises Act, which is a U.S. Act aimed to reduce the risk that a person unexpectedly receives out of network charges for their health care visits.

Description: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.

Description: The SOA is seeking researchers to explore considerations within the LGBTQ+ community impacting employer-based health benefit designs. Review details on the background, research objectives, proposal requirements, selection process, submission guidelines, and project conditions.

Description: This request for proposals for research studies on measuring and modeling climate liability risks outlines the background, objectives, proposal requirements, selection process, submission details, conditions, and other pertinent information for interested researchers.

Description: 2024 Questionnaire for Karen L. Anway

Description: With the evolution of long term care benefits in the insurance space, how does a customer know what product to choose? This webinar will present various ways someone can protect themselves with LTC insurance policies and riders.

Description: 2024 Board Member Candidate Page for Jon Zeu Wu