Description: In this article, we aim to outline the advantages of smaller programs and gather opinions on the challenges these programs face in their efforts to emphasize these strengths. For our purposes, we define small actuarial programs as those with a relatively low student enrollment count. The following are three key advantages of small programs, which are similar to those of small colleges:(a) Enhanced benefits from small class size; (b) Adaptable curriculum; (c) Increased opportunities for each student. A variety of similar other issues are also discussed with recommendations, challenges, and invitations for further dialogue.

Description: A brief overview of last year's Education & Research Section Council work, accomplishments and challenges from its outgoing chair.

Description: In this article, I give a few notes as the outgoing chair of the Education and Research Section Council.

Description: The article describes a new professional experience course in actuarial science at the University of Toronto, including details on its key building blocks and student assessments. It also discusses different teaching modes (in-person vs. online). It should be of interest to institutions looking to add industry internships and experiential learning into their actuarial education.

Description: A look at current AI usage and future use cases.

Description: How does mortality experience impact earnings under the new GAAP financial framework? This article discusses how to isolate key components from financial models related to decrements, as well as how to handle the changes in the financial reporting landscape including: the aggregation of insurance policies into cohorts, dynamic reserving, and the limitations imposed by caps and floors. Looking at the components of earnings, such as the present value of benefits, expenses, and premiums, and how these elements interact is critical to form a comprehensive earnings story.

Description: The Best Article in the Reinsurance News 2023 and News from the Reinsurance Section Council

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.

Description: A recounting of all the accomplishments the Joint Risk Management Section had in 2021 crediting those responsible for their successful completion.

Description: This article provides an overview of activities that should be considered by an actuary when validating a predictive model. It describes several components to consider when validating a predictive model and provides an examination of various methodologies that can be implemented in the validation process.