AI for Insurance: Underwriting, Claims, and Fraud

Insurance is a prediction business: you take money now for a promise about an uncertain future. That makes it an unusually natural fit for machine learning, and an unusually regulated one. This cursus starts with how insurance works, risk pooling, the premium equation, the combined ratio. Then where AI does the work: rating models, telematics that measure behavior instead of proxying it, claims pipelines that read photos and settle simple losses fast, fraud models that refer to investigators. It ends with the rules: proxy discrimination, the NAIC bulletin, NYDFS, and the EU AI Act.