Research & development
Research & development
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Trustworthy artificial intelligence in insurance: Navigating fairness and performance in predictive modeling
A technical guide for group fairness metrics and an illustration of fairness remediation results on real-world datasets
Vers une modélisation jointe de l’impact de plusieurs facteurs climatiques sur la mortalité
Application: modélisation jointe des températures et de la pollution de l’air
Barometer of generative AI adoption in the European insurance industry
Milliman has analyzed adoption and use of generative artificial intelligence (AI) by insurers in the European market.
Climate-driven mortality projections under different scenarios
Application: Forecasting the impact of high temperatures on mortality in the Netherlands
Climate stress tests on corporate bonds
The effects of climate change are increasingly noticeable, particularly those affecting economic activity.
Backtesting of dynamic hedging of RILA
Comparing static vs. dynamic hedging with a Monte Carlo perspective for decision making
An application of generative AI in the insurance industry: Analysis of movements in best estimate liability case study
We investigate the emerging threat of AI-generated car crash photos, focusing on how fraudsters exploit the technology to create fraudulent claims.
The impact of climate change on winter mortality: A complex phenomenon with an uncertain future
In this study, we detail the mechanisms of the impact of changing winter weather conditions on the human body, define the climatic variables of interest, and present appropriate models.
Etude de la mortalité par causes et par facteurs socio-économiques en France
La modélisation de la mortalité par causes de décès permet en effet de repérer les maladies qui bénéficient le plus des avancées médicales, ainsi que celles qui au contraire se généralisent au cours des dernières années.