Saved in:
| Main Authors: | , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.16730457 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901746962399232 |
|---|---|
| author | Khanal, Upendra Khanal, Laxmi |
| author_facet | Khanal, Upendra Khanal, Laxmi |
| contents | <p>This paper explores the transformative role of artificial intelligence (AI), particularly large language models (LLMs) and generative design tools, in revolutionizing architectural design for construction. It highlights how AI-driven systems can automate design processes, reduce human error, and create optimized 3D models faster and more efficiently than traditional methods.</p> <p>The paper also examines the potential risks and limitations of AI in architecture, including job displacement, ethical concerns, data privacy risks, platform monopolies, and creative restrictions. Through an analysis of recent trends, technologies, and academic references, this study provides a critical understanding of how AI is reshaping the future of construction-oriented architecture.</p> <p>This work is intended for researchers, architects, and technologists interested in the intersection of design, automation, and artificial intelligence.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16730457 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI in Architecture: Smarter and Faster Building Designs Khanal, Upendra Khanal, Laxmi artificial intelligence architecture ai in architecture <p>This paper explores the transformative role of artificial intelligence (AI), particularly large language models (LLMs) and generative design tools, in revolutionizing architectural design for construction. It highlights how AI-driven systems can automate design processes, reduce human error, and create optimized 3D models faster and more efficiently than traditional methods.</p> <p>The paper also examines the potential risks and limitations of AI in architecture, including job displacement, ethical concerns, data privacy risks, platform monopolies, and creative restrictions. Through an analysis of recent trends, technologies, and academic references, this study provides a critical understanding of how AI is reshaping the future of construction-oriented architecture.</p> <p>This work is intended for researchers, architects, and technologists interested in the intersection of design, automation, and artificial intelligence.</p> |
| title | AI in Architecture: Smarter and Faster Building Designs |
| topic | artificial intelligence architecture ai in architecture |
| url | https://doi.org/10.5281/zenodo.16730457 |