The SOA’s Actuarial Innovation and Technology Strategic Research Program highlights actuarial research, surveys and papers on the use of new technology involving the actuarial profession. The program is also designed to share how actuaries develop new innovations in this space. Topics include predictive analytics, artificial intelligence, machine learning and how actuaries use computational power.
Actuarial Innovation & Technology Strategic Research
The SOA Strategic Research Programs emphasize the skillset and thought leadership of actuaries, and help provide insights to members, stakeholders, and the public on socially relevant topics.
Actuarial Innovation & Technology Strategic Research
Research Insights - Emerging Themes in AIT Research
Epigenetics: A White Paper on Technology and Innovation
This paper explores how molecular biology, specifically epigenetics, may impact the life insurance industry, and considers the effects of utilizing epigenetic biomarkers for underwriting.
Actuarial Practice Innovation Call for Essays
This report is a compilation of the prize winning essays from the recent Actuarial Practice Innovation Call for Essays.
Summary of Innovation and Technology Research Reports
A brief overview of recent AIT research papers in summarized format.
Peer-to-Peer Insurance: Blockchain Implications
The aim of this project is to showcase the development of a Peer-to-peer (P2P) insurance model.
Ethical Use of Artificial Intelligence
The purpose of this report is to highlight the ethical risks arising from the application of AI in actuarial practice and to have tools to use to identify and manage it.
Research Insights - Actuarial Innovation and Technology 2019 Review
Big Data and the Future Actuary
The purpose of this report is to review the existing literature on how today’s unprecedented access to data is reshaping the capabilities of insurance actuaries.
A Primer on Insurance Policies and Genetics
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.
Research Reports
Insurance Regulatory Issues in the United States
This research examines the intersection of U.S. insurance ratemaking and analytics techniques in advanced modern rating systems and associated regulatory considerations in the U.S.
An Update on the Outlook for Automated Vehicle Systems
To help describe current trends and highlight differences between the cars we see on the street today and driverless vehicles, this report relies on three market-related definitions; safe, self-driving and driverless.
A Tour of AI Technologies in Time Series Prediction
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.