Description: This article provides a summary of selected sessions of the October 2010 NAIC meeting.

Description: Update on Federal Tax Issues Under the 2001 CSO Mortality Tables

Description: Discussion of recent economic, social and political environment and trends and the impact they have had on insurance regulation and needed changes in the regulations and regulatory process.

Description: This article describes the new state of Washington regulation governing replacements noting problems with the formula used and offering improvements.

Description: This reinsurance refresh session will review different types of reinsurance, main reinsurance regulations and resources, key reinsurance treaty provisions, as well as recent developments in reinsurance. We will also introduce LEARN, an education initiative sponsored by the SOA Reinsurance Section to help improve communication with regulators.

Description: A commentary on whether or not the Illustrations Regulation has been successful.

Description: Discusses legislation being proposed in various states that would apply to Small Face Amount Policies, SFAPs.

Description: Summary of the upcoming activities for the Smaller Insurance Company Section in 2016.

Description: Guy Thomas develops the theory of “loss coverage,” which is a measure of the extent to which potentially insurable losses are actually compensated by insurance. His main points of difference are: a) Adverse selection in insurance is usually weaker that most commentaries suggest … b) From a public, policy perspective, ‘weak’ adverse selection in insurance is a good thing. … c)… some restrictions on risk classification are a good thing in some insurance markets

Description: in the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. The presenters in this session present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process.