Computing textile looms in India ignites intellectual property dispute over shared heritage

Assistant professor of computer technology Pitoban Deka noticed, while shopping with his mother for a traditional 'Gamosa' scarf in the Indian state of Meghalaya, that the same patterns repeated in every store displaying the product, and through careful inquiry discovered that weavers in the neighboring Assam district of Sualkoshí receive a fixed fee of no more than two thousand rupees, about $21, per design with no subsequent royalty payments, prompting factories to limit production options to cut costs. This incident led Deka at MIT in Shilong to develop an artificial-intelligence system that generates an infinite array of patterns, filing a patent application through the university’s research department to turn it into a commercial design service for textile factories, justified by providing variety to consumers and equipping artisans with modern tools.

This shift opened the door to a structural paradox that goes beyond individual experiments; tools designed to preserve the craft make its visual language easier to duplicate digitally, detached from the original makers. It is embodied in the 'Rekh Sanghaneri' database developed by researcher Ridi Sai Nevas for wood-block printed fabrics in Rajasthan, containing high-resolution images that capture even ink porosity and the subtle imperfections that characterize handwork and attest to the authenticity of the craft. In February 2026, Tata Consultancy Services showcased at the AI Impact Summit in New Delhi the 'BridgeDigital Loom' system, which translates complex designs into operational instructions that guide manual loom weavers via guide lights in the town of Kanchipuram, reducing the time to master the craft from fifteen years to a brief period, butIt strips the master artisan of knowledge monopoly and hands the pattern memory over to the algorithm..

This industrial expansion meets initial objections from inherited artisan communities; designer and merchant Denish Shiba, who comes from a distinguished family in printing 'Bagru' blocks in Rajasthan, emphasizes the need not to appropriate geographic and heritage names such as 'Bagru' and 'Jaipuri' when marketing automatically generated digital prints. Likewise, Anantalakshmi Vadivil, a third-generation weaver who runs Vadivil silk looms in Kanchipuram, believes that original fabrics retain their high value among buyers seeking authenticity despite competition from cheap electronic looms, but the core issue is no longer the machine’s capacity to imitate, butWho receives the financial compensation when shared heritage becomes a commercial asset.

Legislatively, the Department of Promotion of Industry and Internal Trade in India released in December 2025 a draft 'Comprehensive License' that allows AI developers to train models on copyrighted material without requiring prior individual consent, with the government determining royalty payments upon commercial deployment. However, traditional intellectual-property laws were drafted on the assumption of a known individual author, whereas textile patterns constitute a cumulative collective ownership passed down through generations without an exclusive title document. To address this gap, the government opened in August a Center of Excellence for Manual Loom Technology at the Indian Institute of Technology Delhi, funded with $1.4 million, aiming to install sensors on looms to digitize weaving motion and issue cards equipped with QR codes to document provenance, similar to the 'Vingatha' system adopted in Maharashtra to protect Pithani and Kathi carpets.

This dispute has direct implications for policymakers and technology developers in the Gulf, Egypt, and the Levant, where national initiatives race to digitize craft heritage, from the 'Sadu' arts of the Arabian Peninsula to Egyptian 'Khayamiya' crafts and 'Brokar' weaving in Damascus. Feeding visual-generation models with local heritage databases without clear legislation regulating collective ownership rights threatens to trigger a cross-border wave of industrial copying, stripping those arts of their economic and cultural value and depriving traditional artisans of the cumulative returns on their creativity, to the benefit of major design and e-commerce platforms.

The strategic lesson is the need not to separate heritage computing from the system of documentation and provenance preservation; the Indian experience shows that bare digitization accelerates dispossession unless accompanied by sovereign tools that grant the handmade piece a legally binding digital fingerprint. Protecting your craft today no longer depends on hiding loom secrets, but onbuilding legislative frameworks that forbid exploiting collective memory in algorithm training without fair compensation to producing communities.