Description: This report provides an exploration of the potential impact of Artificial Intelligence (AI) on medical malpractice claims, with a focus on one specialty (radiology) and one state (New York). The discussions in this report are targeted to actuaries who are interested in developing a method to quantify the potential impact of AI to their own medical malpractice portfolio or to their own work.

Description: This report proposes a methodology to isolate crop yield improvement due to technological change and favorable and unfavorable weather.

Description: This research project seeks to develop a broader understanding of the relationship between ownership of insurance and retirement products and the income and wealth gap between races and ethnicities in the United States.

Description: Personal Injury Protection (PIP) pays for post-collision medical expenses regardless of who was at fault. It is only available in certain states

Description: The COVID-19 pandemic and its economic effects have resulted in significant insurance impacts. The General Insurance Research Committee (GIRC) of the SOA put forth a call for essays exploring the potential effects on commercial liability insurance. The committee selected this essay, “Evolving Trends in Commercial Liability Insurance,” submitted by Karl Canty and Varun Balutia of EXL, and awarded them a prize of $1,000. The GIRC congratulates the authors and is happy to publish the winning essay on The Actuary website

Description: This report proposes a methodology to isolate crop yield improvement due to technological change and favorable and unfavorable weather.

Description: This report predicts farm-level crop yield distributions in the absence of farm-level yield data.

Description: This article examines the property losses sustained by homeowners and the economic losses sustained by insurance companies and government agencies due to California wildfires.

Description: The Spatial Hazards Events and Losses Database for the United States (SHELDUS) provides county-level data for direct economic losses due to natural hazards from 1960 to the present.

Description: This report provides methodological tools for an insurer to better understand the potential losses incurred by autonomous vehicles in the context of rollover risk.