Description: This report discusses the use of federated learning in the insurance industry and explores the benefits and challenges of this approach.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: The Society of Actuaries (SOA) Research Institute released a report summarizing the InsurTech Insights Americas conference held May 24-26, 2022. InsurTech, a concept created 10-15 years ago, is maturing and currently western financial markets are recording a downward trend while inflation is rising. While this downward pressure on financing makes investors more cautious, stakeholders are working towards partnerships to improve the overall effectiveness and purpose of the insurance industry.

Description: Artificial intelligence is no longer an emerging technology — it is rapidly becoming the core engine of risk selection, pricing, underwriting, and customer interaction across insurance and financial services. But as models evolve into autonomous agentic systems and decision pipelines become more complex, traditional guardrails are being stress-tested like never before.