BusinessThe Decoder· Jun 25, 2026
Insurers Explore Generative AI for Catastrophe Modeling Amid Hallucination Concerns
Insurers are adopting generative AI techniques such as diffusion models to simulate large numbers of weather events in regions without sufficient historical records. The goal is to achieve more accurate risk evaluations for catastrophes. Researchers have raised warnings about potential hallucinations in the generated outputs and other limitations that could affect reliability.
Key points
- →Diffusion models create thousands of simulated weather events to fill data gaps
- →Insurers seek improved precision in catastrophe risk assessments
- →Experts highlight risks from AI hallucinations and sales influences
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