Architecture: explainable artificial intelligence and research into the creative process
DOI:
https://doi.org/10.31637/epsir-2025-1606Palabras clave:
Corrales, Molezún, Architectural research, Design process, Explicable Artificial Intelligence, RAM-ADP, RN-IR, XAIRMResumen
Introduction: The Reconstruction and Assessment Methodology of the Architectural Design Process (RAM-ADP) extrapolates that used within the doctoral thesis on the Jesús Maestro Parish Group of Valencia to the study of other architectural projects, it has been systematically implemented by means of a hybrid open access digital entity as a research network and institutional repository (RN-IR), and the intervention of Explainable Artificial Intelligence (XAI) technologies whitin this virtual environment to optimise research (XAIRM) is studied. Methodology: Fundamentally, XAIRM strengthens the researcher, whose information and arguments introduction within the RN-IR trains a set of XIAs as agents, who then develop the research tasks, reviewed by the researcher before their validation within this virtual environment by documentary centres, universities, and the owning body. Results: The architectural design process organisation within an evolved and semi-automated virtual environment (XAIRM). Discussions: XAIRM involves promoting the use of AI guaranteeing information traceability from research on the creative process. Conclusions: XAI advanced applications within the RN-IR do not alter human control over the research process and allow the researcher time and effort to be optimised.
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