White Paper
How the Insurance Industry is Navigating the Complex Debate Over Fairness in Pricing
White Paper Summary
Few topics in insurance generate as much debate as the question of fairness in pricing. Auto insurance, in particular, sits at the center of this conversation because driving is a near-universal necessity in the United States, and coverage is legally required. When premiums vary significantly from one policyholder to the next, questions inevitably arise about whether those differences are justified — and whether certain groups are being unfairly burdened.
The challenge has only grown more complex as insurers adopt advanced modeling techniques, machine learning and artificial intelligence, to better differentiate risk. While these tools can allow for more precise pricing, they may also intensify questions about disparate impact and proxy discrimination that legislators, regulators, and consumer advocates have been working to address.
“The potential for disparate impact and unintentional bias is commonly discussed in auto insurance. Every driver in the US needs auto insurance, but there is great variety in pricing from driver to driver. The inequality in pricing makes the potential for bias and disparate impact a frequent topic of conversation,” said Gary Wang, Senior Consulting Actuary at Pinnacle Actuarial Resources.
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