Description: The Society of Actuaries (SOA) Board of Directors (Board) gathered in Chicago March 16–17 for its first meeting of the year. Among key topics on the agenda were the FSA pathway evolution update, Board elections, strategic planning and the use of AI in the workforce.

Description: Description of the mathematics involved when looking at low probability events within a company from the perspective of the C-Suite. The accumulation of small probability events leads to a much higher probability of at least one of them happening in a given period.

Description: In this webcast, we will overview the recent trends in the pension landscapes, as well as discuss investment solutions that assist with navigation through volatile market conditions. Learn more about the challenges that investors face now, as well as in the past. If you're ready to dive into the issues of investing during a period of inflation, monetary tightening and turbulent financial markets, then join us and discover more about what's going on in the pension and retirement industries.

Description: Results of the 2021 SOA Life Reinsurance Survey

Description: Chairperson description of current MaD section activity and upcoming webcasts and other emerging section content

Description: News release announcing the winners of the 2025 Student Research Case Study Challenge

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: Behavioral science reveals that consumers tend to assess risk emotionally, through perceptions rather than calculations. So, will COVID-19 change risk perceptions in the long term -- and similarly increase life insurance sales? Insurers should take nothing for granted

Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"