| Title |
A Study on Architectural Design Methodology Utilizing Generative Artificial Intelligence and Anatomical Technique |
| Authors |
채형주(Chae, Hyung Ju) ; 고성학(Ko, Sung Hak) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.1.139 |
| Keywords |
Generative Artificial Intelligence; AI-Driven Design Methodology; ChatGPT; Stable Diffusion; Feedback Loop |
| Abstract |
This study explores the process by which artificial intelligence (AI) is integrated into architectural design, highlighting its potential to improve
efficiency, creativity, and adaptability. Using Chicago's skyscrapers as a case study, we digitize architectural data and transform key properties
into binary forms to create modular and scalable 3D forms. This work uses advanced generative AI tools such as ChatGPT and Stable
Diffusion to develop innovative design approaches that combine algorithmic precision and creative flexibility by connecting text input with
visual output. The methodology emphasizes the decomposition and reconstruction of data to incorporate the catalytic formation of Ali Rahim
to match architectural forms with contextual and functional needs. The iterative feedback loop is implemented by Grasshopper, which ensures
that the design output is optimized and data-driven while minimizing process conflict. Stable Diffusion provides a variety of design
alternatives that enhance early-stage creativity by creating reference images. While demonstrating the innovative potential of AI, the limitations
of 3D modeling precision and articulation of building elements require human intervention to refine outputs and adapt them to real-world
situations. This study demonstrates AI's capacity as a collaborative partner, allowing architects to explore new possibilities while maintaining
control over design intentions. Defending a balanced approach, this study highlights the complementary role of AI in restructuring
architectural practices and fostering innovative and responsive design processes by combining data-driven methodologies and adaptive
strategies. |