Extract

Abstract: Artificial intelligence has the potential to radically transform how the built environment is conceptualised, designed, measured and constructed. However, the potential of artificial intelligence to improve building performances from the early design stages is yet to be fully understood. This paper provides an overview of the current knowledge, potential benefits and barriers of artificial intelligence-driven design approaches for early-stage design development aimed at improving the overall building performance. It undertakes a systematic literature review of papers focused on improving building design through the use of artificial intelligence in designing, simulations, and testing. This analysis uses the PRISMA reporting methodology to review 1,416 articles, of which 76 are identified as relevant for AI-driven optimisation of design and construction. This study reveals that the integration of machine learning in the early design stages of building projects can mark a transformative leap towards more sustainable, efficient, and cost-effective structures.

Keywords: AI; performative design; early design stages; building performance.

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