Machine learning

The use of catastrophe models and of sophisticated AI to make coverage decisions are all under debate.

AI-powered catastrophe and risk models use varied sources, including aerial imagery.

In other news: A Nationwide survey shows customers are reducing their homeowner's insurance coverage.

The senior data scientist shares about his work in identifying demographic bias in machine learning models.

The industry may want to build its own large language model.

He shares how new technologies like machine learning and AI are shaking up the industry and the role of insurance agents.

Secretary of the Commonwealth William F. Galvin says a probe into how firms are using AI isn't a condemnation of the tech but an acknowledgement of its potential impact.

Insurers are adapting AI technology to improve customer experience, enhance fraud detection and create accurate risk-ranking models.

Rebuilding artificial intelligence algorithms to explicitly integrate transparency and overcome black box limitations.

In May, the California Department of Insurance sent surveys to property & casualty insurers, to get information about how insurers are using tools like big data, artificial intelligence and machine learning in their decision making processes.