Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: Actuaries pride themselves on innovation and advancements; but no professional field has pushed to set the bar higher than medical Radiology. Over the course of the last few decades, medicine has begun to rely more on artificial intelligence to aid in the process of patient care; and the results have been outstanding! This article looks to show how high the bar has been set, how it will impact the current state of the world of the actuary and the future impacts

Description: This article is aimed to cover the following: 1) Provides an assessment of income volatility under Long Duration Targeted Improvements (LDTI) for several key types of long duration contracts along with select illustrations, and compares against those under current GAAP, 2) Discuss areas where accounting policies or methodologies can influence income volatility, and 3) Show how a company's management reporting can be adapted to help explain income variances under LDTI.

Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.

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. This is Part 2; Part 1 was featured in Health Watch's Sept 2024 issue.

Description: A paper demonstrating how to obviate the need for market timing strategies in variable annuity products by judicious use of product design. The paper presents the premise behind the product design, provides numerical examples, then explores possible extensions of the concept to produce more sophisticated variable annuity plans based on guarantees of investment outcomes.

Description: Article reviews the data a year into the unwinding of continuous coverage provisions in Medicaid, the impact on enrollment counts, how capitation rates have been adjusted, and compares those results to what has been modeled with the SOA Mediciad Unwinding model.

Description: The importance and opportunity, globally, of inclusive insurance is identified. We review traditional actuarial approaches, recognize their underlying presumptions, and then manage the issues raised. We clarify the process distinctions between traditional and inclusive insurance.