Description: To review 2021 and look forward to 2022 as the new Chair of the Actuary of the Future section council

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

Description: Educational opportunities for those interested in Long Term Care.

Description: We discuss a teaching program for new actuarial science and risk management & insurance educators at Georgia State University that includes the following topics: - Introducing insurance - Syllabus construction - Creating content and actively engaging students - Student motivation and career paths - Assessment and grading rubrics - Professional ethics and other

Description: This month, Expanding Horizons had the opportunity to interview Tim Boonen, the winner of the Society of Actuaries’ (SOA’s) second Actuarial Science Early Career Award.

Description: An update to the risk management readers on what the JRMS is planning to do over 2023 to serve its membership.

Description: The paper demonstrates that the most popular rationalization for evolving glide paths is flawed and should be discarded. The paper also demonstrates that glide paths should generally evolve for investors that endeavor to optimize outcomes and reevaluate their portfolios regularly.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

Description: Milliman was engaged by the SOA to conduct two Accelerated Underwriting (AU) surveys, one of direct companies and another of reinsurers. The surveys explored actual results from 2019–2021 and expected results from 2022.

Description: The incoming E&R chair for the coming year reflects on past accomplishments of the E&R council, acknowledges with thanks contributors, and looks forward to continuation in the coming year.