HYBRID INTELLIGENCE IN ART STUDIO MANAGEMENT
DOI:
https://doi.org/10.29121/shodhkosh.v6.i1s.2025.6675Keywords:
Hybrid Intelligence, Art Studio Management, Human-AI Collaboration, Creative Industries, Cognitive AugmentationAbstract [English]
The art studios also have a turn in their management to a new transformative change which is the emergence of Hybrid Intelligence (HI) a combination of human creative power and the power of artificial intelligence. This paper discusses how HI frameworks may change creative processes, decision-making, and efficiency of functioning in studios of modern art. Exploring the relationship between cognitive reinforcement and computer automation, the research contributes to the fact that AI systems do not replace human artistic instinct and administration ability but complement it. The literature review is after the elaboration of human creativity in the sphere of management, the application of AI to the creative spheres, and the models of human-AI interaction. It is discussed on the basis of the theoretical framework Hybrid Intelligence theory, where its attention is paid to the shared cognition, adaptive learning, and co-creation. Empirical implementation of case studies has been successful in illustrating how hybrid systems can streamline the decision-making process as well as optimize the workflow, and maximize opportunities to be creative. The results of the research point to the fact that the art studios in which HI models are applied are linked to higher outputs, more innovative models, and more evidence-based management practices with no decline in the artistic authenticity. Additionally, the problems of ethical application, education, and policy change are discussed in the paper as the obstacles that are required to the effective integration. The new AI tools such as generative design, predictive analytics or emotion systems will further infiltrate artistic and managerial practices in the future.
References
Ackroyd, P. (2020). The Structural Conservation of Paintings on Wooden Panel Supports. In Conservation of easel paintings (pp. 478–503). Routledge. https://doi.org/10.4324/9780429399916-31
Amabile, T. M. (2020). Creativity, Artificial Intelligence, and a World of Surprises. Academy of Management Discoveries, 6(3), 351–354.
Bosco, E., Suiker, A. S. J., and Fleck, N. A. (2021). Moisture-Induced Cracking in a Flexural Bilayer with Application to Historical Paintings. Theoretical and Applied Fracture Mechanics, 112, Article 102779. https://doi.org/10.1016/j.tafmec.2020.102779
Burger, M., Nitsche, A. M., and Arlinghaus, J. (2023). Hybrid Intelligence in Procurement: Disillusionment with AI’s Superiority? Computers in Industry, 150, Article 103946. https://doi.org/10.1016/j.compind.2023.103946
Correia, A., Grover, A., Schneider, D., Pimentel, A. P., Chaves, R., de Almeida, M. A., and Fonseca, B. (2023). Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd–Machine Interaction. Applied Sciences, 13(4), Article 2198. https://doi.org/10.3390/app13042198
Dellermann, D., Lipusch, N., Ebel, P., and Leimeister, J. M. (2019). Design Principles for a Hybrid Intelligence Decision Support System for Business Model Validation. Electronic Markets, 29(3), 423–441. https://doi.org/10.1007/s12525-018-0309-2
Dong, L., Zheng, H. C., Li, L. T., and Hao, L. N. (2022). Human–Machine Hybrid Prediction Market: A Promising Sales Forecasting Solution for E-Commerce Enterprises. Electronic Commerce Research and Applications, 56, Article 101216. https://doi.org/10.1016/j.elerap.2022.101216
Gao, Y., Ziegler, P., Heinemann, C., Hartlieb, E., and Eberhard, P. (2023). Experimental Research on the Vibration Characteristics of Canvas and Primed Canvas of Paintings. Archive of Mechanical Engineering, 70, 333–350. https://doi.org/10.24425/ame.2023.146850
Hatwar, L. R., Pohane, R. B., Bhoyar, S., and Padole, S. P. (2025). Mathematical Modeling on Decay of Radioactive Material Affects Cancer Treatment. International Journal of Research Development and Management Review, 14(1), 180–182. https://doi.org/10.65521/ijrdmr.v14i1.501
Janas, A., Mecklenburg, M. F., Fuster-López, L., Kozłowski, R., Kékicheff, P., Favier, D., Andersen, C. K., Scharff, M., and Bratasz, Ł. (2022). Shrinkage and Mechanical Properties of Drying Oil Paints. Heritage Science, 10, Article 181. https://doi.org/10.1186/s40494-022-00814-2
Kim, S. G., Yoon, S. M., Yang, M., Choi, J., Akay, H., and Burnell, E. (2019). AI for Design: Virtual Design Assistant. CIRP Annals, 68(1), 141–144. https://doi.org/10.1016/j.cirp.2019.03.024
Krinkin, K., Shichkina, Y., and Ignatyev, A. (2023). Co-Evolutionary Hybrid Intelligence is a Key Concept for the World Intellectualization. Kybernetes, 52(8), 2907–2923. https://doi.org/10.1108/K-03-2022-0472
Morlotti, M., Forlani, F., Saccani, I., and Sansonetti, A. (2024). Evaluation of Enzyme Agarose Gels for Cleaning Complex Substrates in Cultural Heritage. Gels, 10(1), Article 14. https://doi.org/10.3390/gels10010014
Panke, S. (2019). Design Thinking in Education: Perspectives, Opportunities and Challenges. Open Education Studies, 1(1), 281–306. https://doi.org/10.1515/edu-2019-0022
Wellsandt, S., Klein, K., Hribernik, K., Lewandowski, M., Bousdekis, A., Mentzas, G., and Thoben, K. D. (2022). Hybrid-Augmented Intelligence in Predictive Maintenance with Digital Intelligent Assistants. Annual Reviews in Control, 53, 382–390. https://doi.org/10.1016/j.arcontrol.2022.04.001
Wu, Y., Ma, L. S., Yuan, X. F., and Li, Q. N. (2023). Human–Machine Hybrid Intelligence for the Generation of Car Frontal forms. Advanced Engineering Informatics, 55, Article 101906. https://doi.org/10.1016/j.aei.2023.101906
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Syed Mohsin Abbasi, B Reddy, Kalpana Rawat, Yasoda Ramesh, Kiran R. Gavhale, Amit Kumar
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
