CRITICAL ANALYSIS OF AI'S IMPACT ON TRADEMARK EXAMINATION AND ITS ROLE IN PREVENTING THE REGISTRATION OF DECEPTIVELY SIMILAR MARKS IN INDIA

Abstract

This paper critically examine the impact of Artificial Intelligence (AI) in trademark examination in India, more specifically its assigned to evaluate the efficacy of Artificial Intelligence (AI) and its role in preventing the registration of deceptively similar marks and to highlight the critical role of Artificial Intelligence (AI) which can be observed in restraining the Similar and closely resemble mark from getting registered. AI tools, including machine learning, natural language processing, and image recognition, are making trademark evaluations process at examination stage more effective, accurate, efficient, and consistent. These improvements help to manage the voluminous number of Trademark applications and the challenges of assessing trademarks application manually in India's due to varied cultural and linguistic environment leading to generic name getting bypassed. By combining AI with traditional practices, the process has become better and robust at detecting phonetic, conceptual, and visual similarities. Still, there are challenges like data biases, transparency issues, and the need to fit with legal framework. This study highlights how AI could transform intellectual property law while suggesting ways to incorporate it smoothly into India's legal system, which is essential for protecting brand identity and promoting fair competition.