Researchers are assessing the true potential of generative AI in sustainable architectural design within an urban context, and identifying the barriers that are hindering its adoption.
Published in Frontiers in Sustainable Cities, this research examines the use of generative artificial intelligence in the early phases of architectural and urban design, where decisions most heavily affect a project's environmental performance.
The method is based on a scenario analysis combining cost and dissimilarity, making it possible to measure the gap between the proposals generated and the actual constraints of a site. The authors distinguish three levels of obstacles: the technical limits specific to the models, the professional practice frameworks that frame the production of documents, and the regulatory constraints imposed on the built project.
The main contribution of these tools lies in the rapid production of technical representations in the upstream phase, making it possible to explore a wider range of parties than with traditional methods. However, their integration remains conditional on careful articulation with existing validation processes, without which speed gains are paid for in subsequent retakes.
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