Description: Situated at the intersection of psychology, neuroscience, sociology, and economics, behavioral economics (BE) centers on applying an honest understanding of human behavior to practical problems. This report is designed to provide general familiarity to the reader interested in the subject of BE and motivate additional research on the topic.

Description: This paper offers a technical overview of the mechanics of Generative AI, with several actual examples throughout. It is intended to be a practical introduction to the concept, not a comprehensive view.

Description: Feature article discussing management techniques of in-force business.

Description: There is a growing amount of “off-balance sheet” talent in the US and Global workforce. This spans from consultants and contractors, to gig workers and the crowd (both curated crowd and open crowd). One such example is Uber and Lyft workers. Insurance companies and the Actuarial profession have started to experiment with platforms such as Kaggle and this will continue to grow and evolve. This article explores these new sources of talent for companies, the implications to the actuarial function, benefits and challenges of the evolving workforce.

Description: Insight on SOA research.

Description: Opportunities frequently come in the guise of change within a company or the industry and the person who is willing and able to adapt to the changing environment can benefit from these opportunities. Whether the change is voluntary or involuntary, there will always be challenges faced and benefits reaped; and the more you prepare yourself for the possibility of change the quicker you’ll be able to adapt.

Description: This report highlights three major weather stories that unfolded across the month of June: • A heat wave gripped much of Europe in the last week of June • An extreme wind event known as a “derecho” swept across a 1000-mile path in the United States (U.S.) on June 21, beginning in Nebraska and culminating in South Carolina • Widespread flooding continues throughout the Central U.S, with a significant impact on farming

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.

Description: The COVID-19 pandemic infection has greatly affected the economy, resulting in volatile market conditions. Because market conditions greatly impact the value of insurance company’s assets and liabilities, the fourth survey in this series focused on best practices around asset and liability management (ALM). The survey was directed at actuaries, investment managers and risk managers directly involved in assessing the impact of recent events on ALM. Responses to the survey were collected between April 22-28, 2020. Thirty-two companies responded to the survey.

Description: Summary in Simplified Chinese