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: 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: Supporting mathematical basis for adjusting mortality risk by applying epigenetic age acceleration measures

Description: This document is a Request for Proposals (RFP) for research studies related to Model Governance/Ethics for GenAI Models in the context of the life insurance industry. It outlines the background, scope of work, proposal requirements, selection process, submission guidelines, and conditions for potential research projects.

Description: The Society of Actuaries (SOA) sought to investigate methodologies and characteristics associated with actuarial innovation, aiming to expand the industry’s capabilities for creativity. The SOA engaged Milliman to conduct in-depth interviews and focus groups with select actuaries who have demonstrated innovative skills, in order to derive key behaviors and characteristics that encourage innovation.

Description: The Society of Actuaries (SOA) Research Institute released an updated report summarizing current issues regarding actuarial technology. In March 2022, for a second time, the SOA Research Institute gathered a panel of insurance industry experts for an update on current actuarial technology topics to help identify directions for future research efforts. This report summarizes their discussions on the Actuarial operating model, technology risk and open-source software.

Description: This research study aims to understand the current and planned use of various technology types and tools and to highlight those technologies that are anticipated to grow the fastest among actuaries in 2019.

Description: On October 7, 2023, the SOA Research Institute assembled an industry expert panel to discuss current issues in GenAI. The group was diverse in terms of employment, including company actuaries from life, health and property/casualty backgrounds, as well as consultants from various kinds of firms.

Description: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

Description: The SOA’s Artificial Intelligence Working Group explored the role of AI in actuarial practice, focusing on risk management, regulatory compliance, and ethical considerations. The discussion highlighted the importance of the NIST AI Risk Management Framework and Generative AI Profile in ensuring responsible AI development and deployment in insurance and healthcare.