Hybrid Intelligence in Art Studio Management
Bibliographic Data
| ID | 22195269 |
|---|---|
| Authors | Syed Mohsin Abbasi (Presidency University), B Reddy B Reddy, Balaji Reddy (0009-0005-8904-0707, Chitkara University), Kalpana Rawat (Noida International University), YK Ramesh (Parul University), Yasoda Ramesh, Kiran R Gavhale (0000-0002-3174-5350, Yashwantrao Chavan Maharashtra Open University), Amit Kumar (0000-0003-4000-1780, Chitkara University) |
| Year | 2025 |
| Volume | 6 |
| Issue | 1s |
| Publication date | 2025-12-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ShodhKosh: Journal of Visual and Performing Arts (JOURNAL) |
| Journal identifiers | ISSN: 2582-7472 • E-ISSN: 2582-7472 |
| Publisher | Granthaalayah Publications and Printers (PUBLISHER • IN) |
| DOI | 10.29121/shodhkosh.v6.i1s.2025.6675 |
| OpenAlex | W4417296170 |
| Language | NL |
| References cited | 16 |
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
Computational Creativity · Creativity · Creativity technique · Human intelligence · Instinct · Studio · Transformative learning · Aesthetic Perception and Analysis · Art, Technology, and Culture · Creativity in Education and Neuroscience
| Highly cited | No |
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