How Disparate Impact Shapes AI Pricing in Insurance
How proxy variables and outcome differences appear in insurance AI pricing, what testing can establish, and where state-specific procedures belong.
AI in underwriting across lines: accelerated programs, external data, and the unfair-discrimination scrutiny they draw.
AI Use Cases in Insurance by Business Line →
How proxy variables and outcome differences appear in insurance AI pricing, what testing can establish, and where state-specific procedures belong.
The AI use cases in health insurance, function by function, and the evidence trail each one leaves in prior authorization, claims adjudication, and risk adjustment.
How homeowners insurers use AI, aerial imagery, and catastrophe models to price property risk, and what state regulators now require for transparency.
How life insurers use AI in accelerated underwriting and what regulators now require for proxy testing, fairness, and documentation.
How reinsurers use AI in treaty pricing, catastrophe modeling, and contract analysis. What model transparency and capital governance mean for risk carriers.
Map your insurance AI systems by line of business for NAIC Exhibit A. Use this template to capture underwriting, pricing, claims, fraud, and customer service AI.
How AI in underwriting works across P&C, life, and health lines, what the NAIC evaluation tool expects, and how to prove your models are fair and traceable.
NYDFS Circular Letter No. 7 is New York's AI guidance for insurers: proxy test, three-step assessment and the 15-day notice.
A business-line map of insurance AI: the decision each system shapes, the risk that makes the line distinct, and the guide to read next.