State Farm’s fraud AI allegedly used racial proxies to flag Black policyholders for heavier scrutiny. The case is now in discovery.
A federal suit filed in 2022, now in discovery, alleges State Farm’s machine-learning fraud algorithms relied on inputs that functioned as proxies for race, leading to disproportionate delays and scrutiny for Black homeowners. In November 2025, Los Angeles County opened a civil investigation into the company’s use of AI to review wildfire claims, and California’s insurance commissioner began a parallel market conduct examination. It extends the algorithmic-discrimination pattern out of health insurance and into property and casualty.
discovery
claims review
alleged
Proxy variables are the recurring failure, an algorithm that avoids race directly but leans on inputs that stand in for it. AVAAS causal attribution identifies which variables drive disparate scrutiny and by how much, and harm-of-inaction scoring weights the real cost of a wrongly delayed claim, giving an insurer evidence to fix or defend its model before an examination opens.
This entry is one of 37 documented cases in the AVAAS evidence ledger, a public record of AI and automated-system failures with a verified source on every entry.
Every case here reached a person.
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