EXPLORING ALGORITHMIC CREATIVITY AND ITS INFLUENCE ON HUMAN–MACHINE CO-CREATED VISUAL ARTWORKS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i4s.2026.7498Keywords:
Algorithmic Creativity, Human–Machine Collaboration, Generative Art, Artificial Intelligence in Art, Computational Creativity, Co-Created Visual ArtworksAbstract [English]
Algorithmic creativity has become a paradigm shift in digital art in the modern world, facilitating new interactions between intelligent computational systems and human artists. This research examines how the use of algorithmic processes in the development of artworks by humans and machines impacts human-computer co-created visual art and evaluates the impact of artificial intelligence in creative production. The study analyzes theoretical approaches to algorithmic creativity, computational systems of generative systems and the role of artists in AI-based creative systems today. It is a developed structured experimental system whereby generative models are conditioned using curated visual data to create algorithmically generated artwork which is then human artistic edited. The evaluation methods that are used to quantify and evaluate creative and originality, stylistic diversity and aesthetic value in both AI-generated and human-machine collaborative pieces are based on quantitative and qualitative type. The comparative analysis shows that works of art created in collaboration are more stylistically diverse, have better conceptual integrity and score higher in aesthetic evaluation than the solely algorithmic ones. The results show that artistic variability and visual complexity are highly dependent upon algorithmic parameters and cultural relevance and conceptual meaning depends on human curatorial intervention.
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Copyright (c) 2026 Kiran Ingale, Yinxin Tang, Dr. Biswaranjan Swain, Dr. Roshita, Aashim Dhawan, Shanthi R., Uma Maheswari G.
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