Description: View article from The Actuary August/September 2014 – Volume 11, Issue 4: Most Frequently Asked Questions

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: Review the findings of an expert panel discussing current Generative AI issues impacting the insurance industry.

Description: This research report develops a framework for modeling and pricing cybersecurity risk.

Description: This report considers a hybrid portfolio that combines life and general insurance aspects.

Description: To evaluate the risk associated with personal auto coverage, insurers have traditionally relied on information about the driver (such as age, gender and marital status), location (such as territory or ZIP code), the intended use of the vehicle (such as business or pleasure) and information about the vehicle when new (such as original cost). Insurers then added detail to driver information using sophisticated credit scoring and demographic models, and added detail to vehicle use information with telematics and usage-based insurance pricing. Now, insurers are adding detail about the vehicle itself using vehicle history. The presenters will discuss how carriers use vehicle history to more accurately price and underwrite risks. They will discuss obvious data elements, such as salvage title brands, verified average annual mileage and severe damage, as well as data that may not be as obvious but has proven predictive of loss in the past. Finally, using vehicle history as an entry point for UBI programs will be covered.

Description: This report concerns optimal new business written premium mix at the firm and state levels under varying competitive conditions.

Description: Editorial for the November 2016 issue of Reinsurance News.

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

Description: This paper proves that rates and premiums are not needed as input in the rating process.