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Generative AI transforms catastrophe modeling for insurers

Insurers leverage diffusion models to generate plausible weather scenarios where historical data is lacking, aiming to refine risk assessment.

Published 7sem1 source
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Researchers warn about *hallucinations* (false data) and commercial biases that could distort predictive models.

While this method seeks to enhance pricing and coverage accuracy, it raises concerns about the reliability of AI-generated outputs.

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Auto-synthesis from 1 media source · identified on June 25, 2026
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