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Generative artificial intelligence: Redefining creativity in architectural design

Karvounaki Vasiliki

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Summary

This research study explores the relationship between Generative Artificial Intelligence (Generative AI) and architectural creation. Firstly, the historical development of AI in computer science is studied, highlighting the challenges it has faced and its direct influences, with significant reference to algorithmic art and genetic algorithms in architecture. Subsequently, the study focuses on the broader concepts of AI, such as machine learning and deep learning, analyzing the various learning techniques that form the basis of generative AI applications andplatforms for the generation of new design data in architecture. The ability of theseapplications to generate useful results for the architectural design process was alsoinvestigated, with reference to contemporary examples of distinguished architects and personal experiments that were incorporated into the study. To achieve a comprehensive analysis, a comparison between the different architectural examples is attempted and the advantages and disadvantages of using these new methods in architectural practice are listed, while their potential negative impact on the role of the architect is evaluated. Finally, it is emphasized that generative AI, as a new technological tool, has the potential to highlight and enhance the architects’ work, if rational and critical thinking are employed to obtain this.

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