AI-Enhanced Trademark Protection In Digital Marketplaces: A Comparative Analysis With Traditional Methods
- IJLLR Journal
- Jul 23
- 1 min read
Abuzar Zeya, National University of Study and Research in Law
ABSTRACT
This study explores the evolving landscape of trademark protection in the context of digital commerce, focusing on the integration of artificial intelligence (AI) in safeguarding trademarks on online platforms and social media. Trademarks are vital for establishing brand identity, ensuring quality, fostering competition, and providing legal and economic benefits. Traditional enforcement methods, reliant on manual detection, struggle to keep pace with the rapid expansion of digital marketplaces. AI-driven tools, utilizing advanced data analytics, computer vision, and natural language processing, offer enhanced efficiency in identifying and mitigating trademark infringements. However, challenges such as algorithmic bias, limited contextual understanding, jurisdictional disparities, and ethical concerns regarding data privacy persist. Through a comparative analysis of trademark enforcement frameworks in India, the United States, and the European Union, this article evaluates the strengths and limitations of AI- driven approaches against traditional methods. It proposes a hybrid model that combines AI’s efficiency with human expertise to strengthen global trademark protection in the digital era.
Keywords: Trademark Protection, Artificial Intelligence, Online Marketplaces, Social Media, Intellectual Property, Jurisdictional Challenges, Data Privacy, AI Bias
