MANAGING ART RESIDENCIES USING AI PLATFORMS

Authors

  • Priyadarshani Singh Associate Professor, School of Business Management, Noida International University, Greater Noida, Uttar Pradesh, India
  • Dr. Selvaraj Poornima Assistant Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, Karnataka, India
  • Abhishek Singla Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India
  • Devendra Y. Shahare Department of Mechanical Engineering, Yashwantrao Chavan College of Engineering Nagpur, Nagpur, Maharashtra, India
  • Divya Sharma Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
  • Dr. Yogesh Jadhav Associate Professor, uGDX School of Technogy, ATLAS Skill Tech University, Mumbai, Maharashtra, India

Keywords:

Artificial Intelligence, Art Residency Management, Digital Transformation, Algorithmic Curation, Creative Industries, Ethical AI

Abstract [English]

The adding of Artificial Intelligence (AI) into the administration of art residencies is altering how institutions are producing, staging and promoting creative practice. Below we explain the hybrid field at the crossroad of AI technology and arts administration, and how intelligent systems can be applied to achieve more intelligent decision-making, more efficient resources allocation, and improved artist-institution relations. Despite the recent rise in the trend of digital transformation in the arts, minimal focus has been given to residency programs - locations that require efficiency in their logistics as well as sensitivity in their curation. The practical applications of AI in residency management discussed in this paper include the choice of artists based on the algorithmic approach, auto-scheduling and forecasting tools. Through case analysis of real-life case studies of organizations that apply AI-based platforms, the study demonstrates measurable outcomes of administrative efficiency and inclusiveness. The relative analysis of the AI-assisted and conventional strategies of management indicates that automation can reduce significant expenditures of the operations and, simultaneously, enables transparency in the selection and evaluation procedures based on data. Nevertheless, certain significant ethical and socio-cultural issues are also mentioned in the study.

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Published

2025-12-10

How to Cite

Singh, P., Poornima, S., Singla, A., Shahare, D. Y., Sharma, D., & Jadhav, D. Y. (2025). MANAGING ART RESIDENCIES USING AI PLATFORMS. ShodhKosh: Journal of Visual and Performing Arts, 6(1s), 370–379. Retrieved from https://www.granthaalayahpublication.org/Arts-Journal/ShodhKosh/article/view/6676