THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE FASHION INDUSTRY: NAVIGATING INTELLECTUAL PROPERTY RIGHTS THROUGH THE LENS OF COPYRIGHT LAW
Trupti Agarkar, BA LLB (Symbiosis Law School), LLM in IPTL (Jindal Global Law School) (India)
Every sector breathes and expands with technology every day, including fashion. The fashion industry is constantly evolving and adopting new technologies, one of the most striking technologies is the Artificial Intelligence (AI). AI has multiple applications in fashion including assist in creating designs and patterns, predicting future trends, computing consumer data and improving service delivery. Nonetheless, the application of AI in fashion has dire consequences in law, specifically concerning Intellectual Property Rights (IP). As AI poses threats to the fundamental principles of IP law, exploring its implication on IP rights is of utmost significance. This research focuses on whether IP rights, specifically the Copyright and design rights, are applicable to the outputs of AI. It seeks to determine how much protection Indian IP laws, specifically the Copyright Act, 1957 provide for works created by AI. Problems such as authorship, ownership disputes, and originality in relation to the Indian legal system are discussed. Moreover, the research analyzes the scope of protections available under Indian law for outputs created by AI. In addition, a comparison with other jurisdictions sheds light on how these AI-related laws of other countries deal with similar problems. The study elaborates on the notion that while AI presents vast opportunities for advancement in fashion, it also illuminates extreme concerns of integrating AI technologies into fashion business. Hence, for the ever-evolving IP laws, it is vital to balance technological advancements with protection for designers, creators and businesses.
| 📄 Type | 🔍 Information |
|---|---|
| Research Paper | LawFoyer International Journal of Doctrinal Legal Research (LIJDLR), Volume 3, Issue 4, Page 1622–1642. |
| 🔗 Creative Commons | © Copyright |
| This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License . | © Authors, 2026. All rights reserved. |