Artificial Intelligence-Enhanced Innovation: Blending Contemporary Aesthetics with Islamic Heritage

Artificial intelligence has transformed various disciplines, including architecture. This study examines the potential of three generative artificial intelligence tools — Midjourney, Leonardo AI, and Prome AI — in representing modern Islamic architectural designs that draw inspiration from traditional principles. The contribution of this study is based on both quantitative and qualitative approaches. The quantitative methodology was conducted through two surveys that assessed public awareness and perceptions of Islamic architecture and evaluated AI-generated designs in terms of architectural authenticity, cultural relevance, and spiritual identity. The study also adopts an experimental and comparative approach as a qualitative methodology to analyse how each AI-driven tool interprets Islamic principles within a contemporary context, focusing on visual aesthetics and cultural appropriateness. The results demonstrate how artificial intelligence tools can support designers and architects in blending innovation with heritage, offering new possibilities for enhancing design solutions and creativity in Islamic architecture. However, the study indicates some limitations, including a lack of deep understanding of the cultural and authentic aspects of Islamic architectural principles. This research adds value to the integration of artificial intelligence in Architectural and interior design schools. It concludes with futuristic possibilities for integrating AI-driven design into the architecture and interior design industry.

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Publication Details

Journal
Smart Design Policies
Published
2025-07-21
DOI
https://doi.org/10.38027/smart.v2n1-3
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
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article

Artificial Intelligence-Enhanced Innovation: Blending Contemporary Aesthetics with Islamic Heritage

Osama Omar, Maryam Obaid
1 citations
Smart Design Policies
AI in Service Interactions
2.48
article

Artificial Intelligence-Enhanced Innovation: Blending Contemporary Aesthetics with Islamic Heritage

Osama Omar, Maryam Obaid
article en
1 citations

Abstract

Artificial intelligence has transformed various disciplines, including architecture. This study examines the potential of three generative artificial intelligence tools — Midjourney, Leonardo AI, and Prome AI — in representing modern Islamic architectural designs that draw inspiration from traditional principles. The contribution of this study is based on both quantitative and qualitative approaches. The quantitative methodology was conducted through two surveys that assessed public awareness and perceptions of Islamic architecture and evaluated AI-generated designs in terms of architectural authenticity, cultural relevance, and spiritual identity. The study also adopts an experimental and comparative approach as a qualitative methodology to analyse how each AI-driven tool interprets Islamic principles within a contemporary context, focusing on visual aesthetics and cultural appropriateness. The results demonstrate how artificial intelligence tools can support designers and architects in blending innovation with heritage, offering new possibilities for enhancing design solutions and creativity in Islamic architecture. However, the study indicates some limitations, including a lack of deep understanding of the cultural and authentic aspects of Islamic architectural principles. This research adds value to the integration of artificial intelligence in Architectural and interior design schools. It concludes with futuristic possibilities for integrating AI-driven design into the architecture and interior design industry.

Smart Design PoliciesVol. 2(1)
University of Bahrain (BH), University College of Bahrain (BH)
Openalex Percentile: Top 9%
AI in Service Interactions
2.48
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Artificial Intelligence-Enhanced Innovation: Blending Contemporary Aesthetics with Islamic Heritage — Osama Omar, Maryam Obaid · Smart Design Policies (2025) | TGRS Research Map | TGRS