Insurance Industry

The insurance industry is undergoing a transformation driven by advancements in artificial intelligence, particularly in risk modeling and claims processing. Current research focuses on developing and applying machine learning techniques, including automated machine learning (AutoML), large vision-language models (LVLMs), and generative adversarial networks (GANs), to improve efficiency and accuracy while mitigating biases and ensuring fairness. This work addresses critical challenges such as data imbalance, privacy concerns (addressed through federated learning), and the need for model transparency and explainability, ultimately aiming to create more equitable and reliable insurance systems. The resulting advancements have significant implications for both the scientific community, furthering our understanding of AI applications in complex domains, and the practical application of insurance, leading to improved risk assessment and customer service.