Human–ai Collaboration in Reviving Folk Traditions

Bibliographic Data

ID22199972
AuthorsMohd Faisal (Noida International University), Varun Ojha (0009-0000-5592-8218, Chitkara University), Mithun Kumar S (Jain University), Ayush Gandhi (0009-0003-0441-0250, Chitkara University), Manisha Manisha (0000-0002-7614-8680, Vivekananda Global University), Mohit Aggarwal (0000-0001-8993-6064, Noida International University), Leena Deshpande (International Institute of Information Technology)
Year2025
Volume6
Issue3s
Publication date2025-12-20
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v6.i3s.2025.6790
OpenAlexW7117234447
LanguageEN
References cited14

The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on qualitative and mixed-method research, such as case studies of the restoration of folk songs with the help of AI, the models of generative art, and the use of natural language processing (NLP) in folk stories. By examining online archives, discussing with cultural practitioners and analyzing AI-generated results, this study will describe changing trends in human-machine co-creation. The results indicate that AI has an important role in documentation, restoration, and creative reinterpretation of folk traditions to increase the accessibility and engagement of younger audiences. Nevertheless, there are still struggles on how to preserve cultural authenticity, ethical use of data and communal ownership. The research emphasizes that the human-AI partnership is best served where it is controlled by the local knowledge and participatory models, so that the technology could serve as an enabler instead of a substitute of the conventional art. Investigating the advantages and the drawbacks of AI in the cultural heritage, the study highlights the importance of the balanced and encompassing attitude toward the technological introduction

Citizen journalism · Cultural heritage · Enabling · General partnership · Generative grammar · Reinterpretation · Transformative learning · Image Processing and 3D Reconstruction · Law, AI, and Intellectual Property · Music Technology and Sound Studies

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