Reinforcing Cultural Narratives Using Ai-Generated Digital Art
Bibliographic Data
| ID | 22197643 |
|---|---|
| Authors | Akhilesh Kumar Khan (0000-0003-1266-1087, Noida International University), Prince Kumar (0000-0001-8933-7571, Noida International University), Gunveen Ahluwalia (0009-0006-6315-6450, Chitkara University), Umakanth S (Jain University), Amit Kumar (0000-0003-4000-1780, Chitkara University), Kirti Jha (Vivekananda Global University), Suhas Bhise (International Institute of Information Technology) |
| Year | 2025 |
| Volume | 6 |
| Issue | 3s |
| Pages | 12-21 |
| Publication date | 2025-12-20 |
| Peer Reviewed | Yes |
| 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.i3s.2025.6754 |
| OpenAlex | W7117323258 |
| Language | EN |
| References cited | 16 |
The paper examines the ways in which artificial intelligence (AI) can support and redefine the cultural discourse, using digital art as a medium. Focusing on the combination of generative AI like StyleGAN2 and Stable Diffusion into a set of traditional folk motifs, the research creates an algorithmic framework of cultural semiotics, which considers AI as a collaborative meaning-making agent. Taking the case study of Madhubani art, the study is an integration of both computational modeling and community-based analysis to investigate the applicability of synthesizing algorithms to preserve aesthetic authenticity without limiting innovative creativity. Such quantitative findings, as Fréchet Inception Distance (FID), Structural Similarity Index (SSIM), and viewer perception scores, suggest that hybrid human-AI partnerships are the most balanced and lead to the preservation of the symbolic depth and the increase of the emotional resonance. The qualitative analysis also shows that AI systems, when trained on ethics, are capable of encoding, reconstructing, and recontextualizing symbols of culture, and aid in the continuation of narratives between generations. The results confirm that AI is not a substitute of cultural tradition but the continuation of it that presents a sustainable approach to digital heritage preservation and cross-cultural creativity. The paper ends by recommending participatory, transparent and explainable AI models to guarantee cultural integrity in the emerging digital art practices
Cultural artifact · Cultural heritage · Digital art · Generative grammar · Narrative · Perception · Aesthetic Perception and Analysis · Crafts, Textile, and Design · Music Technology and Sound Studies
| Citation velocity | historical |
|---|---|
| Highly cited | No |