Description: This paper helps the audience understand the actuary’s role in estimating the financial impact of primary care programs. In addition, the paper can be used by actuaries to think about key issues when estimating the financial impact of their employers’ and clients’ own primary care programs.

Description: The review provides an overview of the technical material related to data sources, validation techniques and methodologies used by leading practitioners to develop mortality rate estimates for past, present and future periods. It also presents discussions regarding business, policy and social implications of increasing longevity.

Description: Recent regulatory developments and ASOP 56 have reinforced the need for robust governance over actuarial models, but there is no one-size-fits-all solution. Design and implementation of an efficient and sustainable model governance framework requires customizing various aspects (e.g., risk rating system, ownership and responsibilities, usage of testing and documentation templates) to fit each company's unique culture and organizational structure.

Description: Impact of COVID-19 on Future U.S. Mortality: Expert Opinion Survey 2

Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: The heathcare academic literature seems to be saturated with articles on technology. This paper presents summaries of several articles that are intended to be representative, covering a wide range of topics relating to the impact of technology on the healthcare system.

Description: Read the October 2020 issue of Retirement Section News published by the Retirement Section. Newsletter provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: In order for an organization to benefit from artificial intelligence/machine learning (AI/ML) models, it requires the involvement of different business areas. During this webcast, professionals from data analytics, audit and risk areas will address challenges and provide solutions for working together to develop, implement, use and risk manage AI/ML tools. Throughout the discussion, the presenters will discuss: • Defining and exploring the challenges and objectives between data scientists, domain experts and control functions • Risk management – model risks and other risks • End-to-end model validation • Model performance vs. interpretability/understandability trade-offs • What to audit – auditor’s challenge and solutions

Description: The Casualty Actuarial Society, Canadian Institute of Actuaries, and the Society of Actuaries' Joint Risk Management Section is pleased to make available a research report that examines the characteristics of insurers' operational risk in the context of current understanding and application. The report was written by Madhu Acharyya of Bournemouth University.