Finance-Insurance
Time: 11.00 am
Date: 23th of April 2025
Room 3049

Antoine HERANVAL (INRAE) “Artificial Intelligence for Natural Disaster Knowledge”

Abstract :This presentation examines the integration of artificial intelligence (AI) techniques into the analysis and management of natural disasters, with a particular emphasis on their applications in the insurance industry and within the broader context of climate change. The first section explores the use of AI for text analysis in insurance, demonstrating how neural network architectures can effectively process and classify unstructured textual data derived from insurance claims and expert reports. The second section investigates machine learning approaches for predicting the economic impact of natural disasters, with specific applications to drought cost estimation in France and flood-related losses. Particular attention is given to extreme value regression models, for which both empirical applications and theoretical results are presented, providing insights into the statistical properties and predictive capacities of these models in the context of rare and severe events. The final section addresses the relationship between extreme climatic events and climate change by introducing marked point processes as a framework for analyzing the spatio-temporal dynamics and intensity of such phenomena. This work highlights the potential of AI-driven methodologies to advance risk assessment, improve damage forecasting, enhance risk prevention, and contribute to a deeper understanding of the evolving patterns of natural disasters in a changing climate.

Organizers:  Olivier LOPEZ