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: 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: 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.