ai-in-insurance
3 free lessons tagged ai-in-insurance across Business. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Insurance AI Under the Rules: Unfair Discrimination and Proxies
Insurance is legally required to discriminate between risks, and legally forbidden from discriminating on protected characteristics. This lesson covers the line between them: proxy discrimination, and the rules that now govern insurer AI, the NAIC model bulletin, Colorado's SB21-169, NYDFS Circular Letter 7, and the EU AI Act.
AI in Underwriting, Claims, and Fraud
This is where insurers actually deploy AI: pricing models that extend a century of actuarial practice, telematics that price behavior instead of proxies, claims pipelines that read photos and documents to settle simple losses fast, and fraud models that refer suspicious claims to human investigators rather than deciding them.
How Insurance Actually Works, and Where AI Fits
Insurance is a prediction business: you take money now for a promise about an uncertain future. This lesson builds the foundations, risk pooling, the premium equation, loss and combined ratios, and the insurance value chain, then shows why a business built on forecasting risk is unusually well matched to machine learning.