GENERATIVE DESIGN WITH ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW OF TRENDS, TECHNIQUES, AND APPLICATIONS.

Generative visual design with AI transforms creative processes by autonomously generating images and structures using advanced algorithms. Its application optimizes visual production in architecture, product design and manufacturing, expanding creative possibilities. However, the lack of standards a...

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Publicado en:Scientific Culture Vol. 11; no. 3, Part 1; pp. 976 - 992
Autores principales: Sivera-Sarmiento, Astelio, Valencia-Arias, Alejandro, Navarro Manotas, Evaristo, Ramos Barrios, Liliana, Jiménez Coronado, Angélica
Formato: Literature Review
Publicado: University of the Aegean 2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2025
      vid: 11
      iid: 3, Part 1
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      pub: University of the Aegean
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        atl: GENERATIVE DESIGN WITH ARTIFICIAL INTELLIGENCE: SYSTEMATIC REVIEW OF TRENDS, TECHNIQUES, AND APPLICATIONS.
      aug:
        au:
          Sivera-Sarmiento, Astelio
          Valencia-Arias, Alejandro
          Navarro Manotas, Evaristo
          Ramos Barrios, Liliana
          Jiménez Coronado, Angélica
        affil:
          Instituto de Investigación IDITEK, Colombia
          Investigador Independiente
          Universidad de la Costa (CUC), Colombia
          Corporación Unificada Nacional de Educación Superior (CUN), Colombia
      su:
        Artificial intelligence
        Algorithms
        Evaluation methodology
        Graphic design
        Creative ability
        Architectural design
        Product design
      sug:
        subj:
          Artificial intelligence
          Algorithms
          Evaluation methodology
          Graphic design
          Creative ability
          Architectural design
          Product design
      keyword:
        Computational Modeling
        Design Evaluation
        Generative Algorithms
        Machine Learning
        Structural Optimization
      ab: Generative visual design with AI transforms creative processes by autonomously generating images and structures using advanced algorithms. Its application optimizes visual production in architecture, product design and manufacturing, expanding creative possibilities. However, the lack of standards and evaluation criteria makes it difficult to adopt them in professional environments, which requires methodologies that measure the quality and coherence of the designs generated. The objective of this research is to explore AI algorithms, techniques and tools applied to generative visual design, identifying their main applications and evaluation methods. To this end, the PRISMA 2020 methodology was used, a systematic approach that guarantees the rigorous selection of relevant studies through a structured process of identification, screening, eligibility and analysis. The results show the predominance of algorithmic approaches, the diversity of tools used and the methodological and regulatory challenges in their industrial integration. Empirical validation, robust regulatory frameworks, and training strategies are required to facilitate their professional adoption. The development of generative design will depend on its integration with other disciplines and on tools that allow a more efficient interaction between AI and human creativity.
      pubtype: Academic Journal
      doctype: Literature Review
      src: R
    language: English
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          year: 2025
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