الذكاء الاصطناعي في التأمين

Define the line of business, decision, and information available at the time. Claims images, telematics, credit-related data, and third-party scores can have different permissions and error patterns. Check whether a feature is a legitimate measure of risk or a proxy for protected or irrelevant characteristics. The NAIC Model Bulletin says decisions supported by AI must comply with applicable insurance laws and regulations, including unfair-trade and unfair-discrimination rules. It also expects governance and information that regulators may request. Treat the bulletin as a framework to organize a current, jurisdiction-specific review. Evaluate error rates and outcomes by relevant groups and claim conditions. Monitor appeals, overrides, complaints, and changes in the data source. A lower fraud-payment rate may reflect more wrongful denials rather than better detection. Keep records of model versions, vendor data, reasons, human review, and corrective action. Provide a path for a policyholder to ask questions and challenge an outcome where required.