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

Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: This article discusses important implications of the upcoming Long-Duration Targeted Improvements (LDTI) accounting change for the modeling actuary. We discuss the modeling implications of new GAAP standards for Market Risk Benefit (MRB), including identification of MRBs, implementation of fair valuation in actuarial systems and retroactive determination of at-issue valuation inputs for transition. We also examine the modeling implications of the other aspects of the accounting change, including Liability for Future Policy Benefit (LFPB), Deferred Acquisition Cost (DAC), and other transition and disclosure requirements

Description: Latest development in IFRS 17 including a first look at companies disclosures and financial impacts, as well as a discussion of some of the run time issues that companies face.

Description: Feature article describing what author thinks it will take for a life insurance company to be successful in the year 2020.

Description: Edited Content: Discover more about key Economic Scenario Generation (ESG) topics that are relevant for actuarial applications. Expect a focus on risk-neutral / market-consistent ESGs, like setting long term assumptions and scenario reduction. Long tern assumptions will focus on a basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set. Come explore a basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction. Provided Content: The overall objective would be to introduce key ESG (Economic Scenario Generation) topics to actuaries, with two topics below that are relevant for actuarial applications. We intend to focus on risk-neutral / market-consistent ESGs. 1. Setting long term assumptions o A basic introduction to challenges in deriving long term assumptions and key concepts to better understand how those are set 2. Scenario reduction o A basic overview of scenario reduction techniques and challenges as well as common sense criteria to address the reasonableness of the reduction

Description: This teaching session presents information related to the potential use of game theory in the insurance business.

Description: Read the April 2020 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Read the November 2019 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.