Verisk, a global data analytics and technology provider, announced the launch of FairCheck, a solution designed to help insurers test their personal lines models and variables to respond to regulatory changes.
FairCheck comprises a customizable, scalable methodology and consultative service to help evaluate and mitigate the potential for unfairly discriminatory outcomes, including in advance of regulatory filings.
Insurers now have a method to help assess their pricing models for unfair discrimination against certain protected classes, like race
As the use of predictive models and similar automated tools increases, coupled with a heightened focus on diversity, equity and inclusion, there has been enhanced regulatory scrutiny around the effectiveness of modern techniques to safeguard against unfairly discriminatory outcomes.
Verisk’s solution can help insurers respond to these developments and meet their unique needs in different states.
We took a proactive approach in assessing our own personal auto rating model to determine whether there were unfair pricing differentials regarding raceAdrian Cuc, senior vice president of analytics at Verisk
“We discovered that race was not a contributing factor in our model. The analysis serves as a foundation for our FairCheck solution that is customizable to assess individual insurer models, different variables within their models and various geographical regions for potential unintended bias”, Adrian Cuc says.
It is a meaningful step in measuring and understanding what impact, if any, race may play in insurer pricing models. By understanding its potential impact, an insurer can determine whether they need to begin to evaluate and mitigate the potential for unfairly discriminatory outcomes.
Verisk has longstanding historical practices and protocols to protect against unfair discrimination related to the ratemaking process, while supporting actuarially sound, cost-based pricing.
With one of the largest insurance databases, it was able to test and develop a methodology to effectively investigate the role of race in personal lines pricing models and variables and quantify its contribution to loss costs.
The results of the analysis were published in the white paper, “Assessing for Unfair Discrimination with Respect to Race in a Personal Rating Model.”
Verisk’s methodology was reviewed by the Maguire Academy of Insurance and Risk Management in the Haub School of Business of Saint Joseph’s University.
With its proven methodology and team of experts in government relations, actuarial science, data science and analytics, Verisk is equipped to help support impartial underwriting and rating outcomes that benefit insurers, regulators and consumers alike.
Our team took a rigorous and objective approach to analyzing and developing a methodology that helps ensure equitable insurance offerings for allNeil Spector, president of Underwriting Solutions at Verisk
“The insurance regulatory landscape is constantly evolving, and with our vast data and leading compliance and regulatory services, we’re uniquely positioned to help the industry adapt and respond to changes”, Neil Spector says.
by Peter Sonner