Description: View the Avoiding Unfair Bias in Insurance Applications of AI Models

Description: On August 29, 2022, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the third time such a panel was assembled, and most panelists had participated in the previous discussions. Each participant volunteering for being part of the discussion was selected because of their management-level responsibilities for the application of technology in an actuarial context. 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. This panel included participants from outside the U.S. as well.

Description: View the Data Challenges in Building a Facial Recognition Model and How to Mitigate Them

Description: Bias Awareness in Model Governance

Description: To expand our understanding of the theory of behavioral economics and its application to life and health insurance policyholder and annuitant behavior, the Society of Actuaries' Committee on Knowledge Extension Research, Committee on Life Insurance Research and the Financial Reporting Section issued a call for papers, inviting actuaries, academics, economists, psychologists, sociologists, researchers and other professionals to explore this topic from a variety of perspectives.

Description: This primer paper seeks to introduce and update the actuarial profession to the topic of insurance policies and genetics and study the impacts on insurance and potential responses.

Description: This is a report that summarizes a Survey of Life Insurance Utilization of Automated Underwriting Systems. It was sponsored by the Committee on Life Insurance Research, Marketing and Distribution and Product Development Sections of the Society of Actuaries and the research was conducted by Deloitte. The report covers many aspects of how much industry interest there is for automated underwriting systems, the goals life insurers seek to accomplish in using them, how the automated systems function, and how successfully they perform.

Description: This paper shows at a relatively low cost, computer assisted instructional techniques can materially improve both classroom instruction and independent study. This discussion is limited to the material used in a Penn State mathematics of finance course. From Actuarial Research Clearing House 1993, VOL. 1.

Description: This paper explores how molecular biology, specifically epigenetics, may impact the life insurance industry, and considers the effects of utilizing epigenetic biomarkers for underwriting.

Description: The Society of Actuaries Research Institute commissioned this study to highlight the leading emerging technologies that may significantly affect the actuarial profession over a three-year horizon. This study will act as a guide and a resource for actuaries or potential employers to identify the prospective tools to enhance or expand actuarial work, for people collaborating with actuaries who may be affected by these technologies, and for leaders looking to enable teams employing actuaries through the introduction of these tools.