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

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

Description: Article examines a proposed amendment to the MAP-21 Act that would have changed a number of tax requirements regarding so-called life settlements.

Description: This article discusses a new budget resolution introduced by the Canadian government providing for new methods of taxing life insurance companies.

Description: Remarks on a recent series of articles in 'The National Underwriter' on risk selection and related regulation.

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.

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

Description: Recent developments in automation capability have opened the door to improvements in the way that companies are able to monitor compliance with Internal Revenue Code (IRC) Section 7702. Further automation of Section 7702 testing allows for less input, more policy testing, and significant reductions in manual processes and risks associated with them. As technology has improved, and computing power become virtually limitless, the insurance industry can take advantage of these new technologies to improve and enhance 7702 capabilities. The result can be an easier, faster and more comprehensive process that will be more scalable across products. By attending the session, you will: - Understand the basics IRC 7702 calculations and computational limitations on traditional solutions. - Identify the features that make low-code/no-code solutions unique and their uses in an actuarial context. - Apply the pros and cons of low-code/no-code (LCNC) solutions in a 7702 context.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.