Reliable AI technology necessitates the development of robust validation infrastructures and data documentation schemas to ensure that AI systems become trustworthy and transparent. The International Workshop on Designing the Conceptual Landscape for a XAIR Validation Infrastructure (DCLXVI 2024), held on 11th December 2024 in Kaiserslautern, Germany, surveyed the conceptual landscape of explainable-AI-ready (XAIR) models and data. The definition of concepts relevant to data integrity, algorithmic transparency, and user interpretability were explored, resulting in a synopsis of core concepts for “XAIR.”