2026-04-17T20:40:17Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2228682026-01-22T22:42:52Zcom_2072_1057col_2072_478917col_2072_478919

Leveraging xAI for enhanced surrender risk management in life insurance products Bermúdez, Lluís Anaya Luque, David Belles Sampera, Jaume Assegurances de vida Aprenentatge automàtic Risc (Assegurances) Life insurance Machine learning Risk (Insurance) Explainable Artificial Intelligence (xAI) plays a crucial role in enhancing our understanding of decision-making processes within black-box Machine Learning models. Our objective is to introduce various xAI methodologies, providing risk managers with accessible approaches to model interpretation. To exemplify this, we present a case study focused on mitigating surrender risk in insurance savings products. We begin by using real data from universal life policies to build logistic regression and tree-based models. Using a range of xAI techniques, we gain valuable insight into the inner workings of tree-based models. We then propose a novel supervised clustering approach that integrates Shapley values with a Kohonen neural network (KNN). The process involves three main steps: computing Shapley values from a supervised tree-based model; clustering individuals into homogeneous profiles using an unsupervised KNN; and interpreting these profiles with a supervised decision tree model. Finally, we present several key findings derived from the application of xAI techniques, which ha</span> 2025-09-01T10:22:47Z 2025-09-01T10:22:47Z 2025-09-01 2025-09-01T10:22:47Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.1016/j.iedeen.2025.100286 European Research on Management and Business Economics, 2025, vol. 31, num.3, p. 1-11 https://doi.org/10.1016/j.iedeen.2025.100286 cc-by-nc-nd (c) Bermúdez, L. et al., 2025 http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Elsevier España Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial)