Caro Martínez, MartaDarias, Jesús M.Díaz Agudo, María BelénRecio García, Juan Antonio2024-05-162024-05-162023-01-1810.1016/j.softx.2023.101311https://hdl.handle.net/20.500.14352/1041132023 Acuerdos transformativos CRUEExisting XAI libraries offer a good number of explanation and visualization methods. We refer to the combination of these XAI methods and their further customization to meet the actual needs of users as explanation strategies. The Explanation Experiences Editor (E3) is a software tool that allows capturing, editing, and executing explanation experiences through a user-friendly interface based on behaviour trees. To easily integrate third-party XAI methods, E3 is supported by a restful web service API that provides a unified access layer for them. The platform also provides an online repository to store the AI models and normalize their access by explanation methods.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/journal articlehttps://www.sciencedirect.com/search?qs=10.1016/j.softx.2023.101311open accessExplainable Artificial IntelligenceMachine Learning interpretabilityRestful APIFlaskBehaviour treesInformática (Informática)33 Ciencias Tecnológicas