THE ROLE OF GENERATIVE ALGORITHMS IN ABSTRACT SCULPTURE CREATION
DOI:
https://doi.org/10.29121/shodhkosh.v7.i1s.2026.7078Keywords:
Generative Algorithms, Abstract Sculpture, Computational Creativity, Human -Algorithm Co-Creation, Digital Fabrication, Generative Art, Evaluation FrameworkAbstract [English]
Increasingly, the effects of computational exploration of form, structure and materiality are being felt even in the realms of contemporary abstract sculpture due to the availability of generative algorithms that allow exploration of form, structure and materiality to levels previously impossible in the realm of manual sculptural practice. In this paper, the authors explore the contribution of generative algorithms to the creation of abstract sculptures, and discuss how rule-based, evolutionary, learning-based, and hybrid computational methods assist in the creation of complex and emergent sculptural objects. The paper gives a coherent approach to the generative pipeline, including algorithmic form generation, computational representation, human-algorithm co-creation, and digital fabrication. To facilitate the systematic analysis and comparison, a common evaluation methodology is proposed that integrates aesthetic evaluation, assessment of novelty and diversity, structural feasibility, preparedness of fabrication, performance of materials, as well as usefulness of the process. The paper also contends on the implications of educational and studio practices, which explore system-based learning by integrating interdisciplinary practices alongside the importance of learning, which revolves around exploration, in sculpture learning. The problem of authorship, interpretability, bias in the dataset, and sustainability are addressed critically, and the directions of further research are described. In sum, the paper frames generative algorithms as collaborative generators of expressive and conceptual range of abstract sculpture with the primary emphasis on the human artistic will.
References
Albar Mansoa, P. J. (2024). Artificial Intelligence for Image Generation in Art: How Does it Impact the Future of Fine Art Students? Encuentros, 20, 145–164.
Aldoseri, A., Al-Khalifa, K. N., and Hamouda, A. M. (2024). AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact. Sustainability, 16(4), 1790. https://doi.org/10.3390/su16051790 DOI: https://doi.org/10.3390/su16051790
Ali, M. (2020). The Human Intelligence vs. Artificial Intelligence: Issues and Challenges in Computer Assisted Language Learning. International Journal of English Linguistics, 8(5), 259. https://doi.org/10.5539/ijel.v8n5p259 DOI: https://doi.org/10.5539/ijel.v8n5p259
Caetano, L., Santos, L., and Leitão, A. M. (2020). Computational Design in Architecture: Defining Parametric, Generative, and Algorithmic Design. Frontiers of Architectural Research, 9(2), 287–300. https://doi.org/10.1016/j.foar.2019.12.008 DOI: https://doi.org/10.1016/j.foar.2019.12.008
De Crescenzio, F., Fantini, M., and Asllani, E. (2022). Generative Design of 3D-Printed Hands-Free Door Handles for Reduction of Contagion Risk in Public Buildings. International Journal of Interactive Design and Manufacturing, 16, 253–261. https://doi.org/10.1007/s12008-021-00825-6 DOI: https://doi.org/10.1007/s12008-021-00825-6
Goodfellow, J., Pouget-Abadie, M., Mirza, B., Xu, D., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2025). Generative Adversarial Networks. Communications of the ACM, 63(11), 139–144. https://doi.org/10.1145/3422622 DOI: https://doi.org/10.1145/3422622
Hanotia, T., and Satsangi, P. (2025). Professional Opportunities IN Influencer Marketing and Financial Content CreatioN ShodhAI: Journal of Artificial Intelligence, 1(1), https://doi.org/10.29121/ShodhVichar.v1.i1.2025.58 DOI: https://doi.org/10.29121/qbnyq991
Leong, W. Y. (2025, January 29–February 1). AI-Powered Color Restoration of Faded Historical Painting. In Proceedings of the 10th International Conference on Digital Arts, Media and Technology (DAMT) and the 8th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (NCON) (pp. 623–627). Nan, Thailand. https://doi.org/10.1109/ECTIDAMTNCON64748.2025.10961986 DOI: https://doi.org/10.1109/ECTIDAMTNCON64748.2025.10961986
Leong, W. Y., and Zhang, J. B. (2025). AI on Academic Integrity and Plagiarism Detection. ASM Science Journal, 20, 75. https://doi.org/10.32802/asmscj.2025.1918 DOI: https://doi.org/10.32802/asmscj.2025.1918
Leong, W. Y., and Zhang, J. B. (2025). Ethical Design of AI for Education and Learning Systems. ASM Science Journal, 20, 1–9. https://doi.org/10.32802/asmscj.2025.1917 DOI: https://doi.org/10.32802/asmscj.2025.1917
Lou, Y. Q. (2023). Human Creativity in the AIGC Era. Journal of Design Economics and Innovation, 9, 541–552. https://doi.org/10.1016/j.sheji.2024.02.002 DOI: https://doi.org/10.1016/j.sheji.2024.02.002
Relmasira, S. C., Lai, Y. C., and Donaldson, J. P. (2023). Fostering AI Literacy in Elementary Steam Education in the Age of Generative AI. Sustainability, 15(18), 13595. https://doi.org/10.3390/su151813595 DOI: https://doi.org/10.3390/su151813595
Santaella, L. (2023). Is Artificial Intelligence Intelligent? São Paulo, Brazil: Almedina.
Shao, L. J., Chen, B. S., Zhang, Z. Q., Zhang, Z., and Chen, X. R. (2024). Artificial Intelligence Generated Content (AIGC) in Medicine: A Narrative Review. Mathematical Biosciences and Engineering, 21(2), 1672–1711. https://doi.org/10.3934/mbe.2024073 DOI: https://doi.org/10.3934/mbe.2024073
Sheikh, H., Prins, C., and Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In Mission AI: Research for Policy (pp. 25–37). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-21448-6_2 DOI: https://doi.org/10.1007/978-3-031-21448-6_2
Simone, C., Cerquetti, M., and La Sala, A. (2021). Museums in the Infosphere: Reshaping Value Creation. Museum Management and Curatorship, 36(4), 322–341. https://doi.org/10.1080/09647775.2021.1914140 DOI: https://doi.org/10.1080/09647775.2021.1914140
Yu, H.-C. (2023). The Impact of Artificial Intelligence Images Application on Creative Performance of Elementary School Senior Students in Art Courses (Master’s Thesis). National Ilan University, Yilan, Taiwan.
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Copyright (c) 2026 Amit Wamanrao Bankar, Kiran Ingale, Shailena Verma, Ashwini Dnyaneshwar Bhapkar, Pooja Srishti, Shanthi R
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