AI vs. Artisans: Who Owns India's Traditional Textile Designs in the Digital Age?

Bitupan Deka, while shopping for a traditional 'gamusa' scarf in Meghalaya, noticed a concerning lack of design variety. He discovered that weavers in Sualkuchi, Assam, were paid a flat fee of approximately 2,000 rupees [$21] per design, forfeiting royalties, and that manufacturers were limiting designs to cut costs. This observation inspired Deka, an assistant professor of computer technology at MIT University in Shillong, to develop a system capable of generating an infinite array of new fabric designs. He emphasizes that his invention is intended to augment, not replace, traditional designers, providing them with a tool to create novel and contemporary motifs more efficiently, thereby offering consumers greater choice. Deka is currently applying for a patent through his university's research and development department and plans to offer the system as a commercial design service to the textile industry.

India's rich textile traditions are deeply intertwined with patterns and motifs that carry historical narratives, cultural mythology, and even migration histories. These designs are born from the weavers' surroundings and brought to life with local colours, often using carved clay and wooden frames. The act of weaving is not mere reproduction; it is an inheritance, with weavers' hands mirroring those of their predecessors and understanding the subtle nuances of design, such as the specific orientation of a flower motif.

In contrast, a computer, while lacking such inherited knowledge, can learn by analyzing images and generating endless variations. Deka's system exemplifies this, enabling computers to replicate and adapt traditional floral patterns. Similarly, the Rekh Sanganeri Dataset, developed for hand-block printed Sanganeri textiles from Rajasthan, comprises high-resolution images of printed patterns, meticulously annotated to capture the imperfections characteristic of handmade work. Reddy Sai Nivas C, its creator, advocates for its use as a research and artistic resource, not a replacement for artisans. This presents a paradox: tools designed to preserve crafts can inadvertently make their visual language easily reproducible digitally, bypassing the craftsperson.

Dinesh Chhipa, from a long-standing artisan family renowned for dyeing and block printing in Rajasthan, acknowledges the challenges of traditional craft production. As a Bagru designer and textile businessman, he understands the limitations of producing intricate pieces in mass quantities. "Traditional craft is slow to produce. Even if someone offered us a fortune, we wouldn’t be able to produce these pieces in mass numbers, so I don’t fault those using digital technology and AI to fill the gap," he stated. However, he strongly cautions against appropriating regional names like Bagru and Jaipuri for mass-produced items, emphasizing that these designs originate from specific cultures and community needs.

The question of cultural ownership arises as India digitizes its vast textile heritage. Initiatives like the Bharatiya Vastra Shilpa Kosh, a national portal by the National Institute of Fashion Technology and the Centre for Development of Advanced Computing (C-DAC), aim to document fragile traditions. However, this digitization also enables AI systems to reproduce these crafts at scale. At the India AI Impact Summit in New Delhi, Tata Consultancy Services (TCS) presented Bridgital Loom, an AI system that translates textile designs into loom-ready instructions. This technology guides weavers through complex patterns, such as those from Banarasi and Kanchipuram, aiming to enhance speed and accuracy. Muthulakshmi Nellaiappan, head of AI strategy at Bridgital Loom, noted that such technologies can significantly shorten the learning curve for new weavers, who traditionally take over 15 years to master the art.

The integration of technology risks flattening the traditional master-apprentice hierarchy, potentially leading weavers to rely on machine instructions rather than their own conceptualization and memory. While TCS ensures its system is compatible with non-electronic handlooms, the broader implications for cultural ownership persist. When traditional knowledge becomes data, questions of who benefits arise. Historically, India's textile knowledge existed within community memory, passed down without formal ownership. Now, as this knowledge enters generative AI models, the original context and creators are often overlooked. Designers and manufacturers are drawn to the ease of motif manipulation and instant design generation, offering abundance. Artisans, conversely, often face scarcity in terms of finances, bargaining power, and recognition.

Ananthalakshmi Vadivel, a third-generation weaver from Kanchipuram, notes that her business already competes with cheaper Kanchipuram sarees produced on electronic looms. She believes that while AI might enable faster and cheaper production of trending designs, these imitations cannot replace the authenticity of handcrafted textiles. "There will always be a market for authentic Kanchipuram and handcrafted textiles, no matter how much technology makes the imitation cheaper. True Kanchipuram weave, colour, and designs can only be created by hand, and discerning buyers know this," she asserted.

The legal framework surrounding intellectual property (IP) in India is ill-equipped to handle the complexities of traditional textile designs. A proposed statutory "blanket licence" for AI training on copyrighted material, set to be implemented by December 2025, highlights this gap. IP laws typically require traceable works and authors, whereas traditional motifs are often communal property with no single originator. This raises questions about who is entitled to royalties: the original artisan, the documentarian, the researcher, or the AI developer? Indian laws currently offer no clear answers, potentially leaving artisans unrecognized, as they often were historically.

In parallel, the Indian government is fostering a connection between AI and handlooms through initiatives like a dedicated AI-handloom research department at the Indian Institute of Technology (IIT) in New Delhi. This facility aims to modernize the handloom sector by merging heritage with technology. Plans include registering weavers, equipping handlooms with sensors for digital data conversion of patterns, and issuing QR-coded tags for provenance tracking. State-level systems like Maharashtra's Vingatha authenticate handloom sarees, making it harder to erase the maker's identity. While these measures may not halt AI-driven mass production, they can enhance artisan visibility and imbue each piece with a traceable history.

In the art world, traditional textiles are increasingly being reclassified as contemporary art, a move that can elevate their market value. Artists like Gurjeet Singh, Sayan Chanda, and Sumakshi Singh are transforming discarded fabrics and traditional techniques into modern sculptures and installations that explore identity and social commentary. An art show in New Delhi recently celebrated traditional textile crafts, presenting them as evolving living practices rather than static heritage. Curator Aparupa Ray Ganguly emphasized the importance of passing down crafts, citing the example of encouraging an artisan to teach her son a nearly extinct flower pattern.

However, the increased value in art galleries does not always translate to recognition or control for the artisans. An exhibition titled "No ‘One’ Maker" in New Delhi highlighted how traditional textiles are aestheticized, while the artisans themselves remain unacknowledged. Dinesh Chhipa reiterates the sentiment: "You cannot separate the names from the community. Call your mass-produced work digital prints and leave the traditional names to the original artisans."