Colorado Proposal Takes Aim at Discrimination in Insurance Markets
The Consumer Federation of America (CFA), Center for Economic Justice (CEJ), and Consumer Reports (CR) urge Colorado lawmakers to enact proposed legislation, SB 21–169 (Sen. Buckner), that would prevent insurance companies from using data and algorithms that result in unfair discrimination against consumers based on their race, gender, or other protected classes. The proposal addresses the impact of systemic racism on the insurance market and will expand both access to coverage and make all aspects of insurance transactions fairer.
“Colorado has an opportunity to not only stop the use of harmful factors in auto insurance pricing, but to eliminate systemic bias from the field,” said J. Robert Hunter, CFA’s Director of Insurance and a former Texas Insurance Commissioner. “This is a strong consumer protection measure that will identify and root out the systemic biases that infect the insurance market.”
SB 21–169, sponsored by Senator Janet Buckner, would require insurers to eliminate practices that treated customers differently according to their race, color, national or ethnic origin, religion, sex, sexual orientation, or transgender status. It also bans insurers from using any external consumer data and information source, predictive model, or algorithm that unfairly discriminates against consumers based on these characteristics. While the bill establishes a prohibition against unfair discrimination, it provides insurers the opportunity to demonstrate that their use of data, algorithms, or models does not result in unfair discrimination.
“Following the murder of George Floyd, many insurance company CEOs stated their commitment — and the commitment of their companies — to eliminate systemic racism in America,” said Birny Birnbaum, Director of the Center for Economic Justice. “This bill asks insurers to do their part and test their practices for racial bias. Today, we’ll see if those insurer CEOs meant what they said.”
The groups pointed to auto insurers’ use of numerous socioeconomic characteristics such as credit history, ZIP code, gender, education, occupation, homeownership status, and marital status to calculate premiums as examples of factors that would be subject to review under the new law. Using data it acquired on auto insurance premiums for every ZIP code in Colorado from Quadrant Information Systems, LLC, CFA highlighted the following key findings that illustrate the importance of the…