top of page

The Labyrinth Of Deceptive Similarity And AI’s Contribution To Indian Trademark Laws




Smita Goswami, BA LLB, Department of Law, Calcutta University


ABSTRACT


Every company has a duty to carry forward its goals and fulfil its criteria. On the basis of that, it creates a logo or in other words, a trademark which acts as the identification mark for that particular company. It determines the authenticity and genuineness of the product manufactured. Since, everything comes with pros and cons, this trademark can be easily misused by miscreants for illicit purposes. Thus, “Deceptive Similarity”, among the trademarks, is one of the ways to take out the resemblances within the logo and place them tactfully in a newly made design. This drastically affects the overall reputation of the company which makes the public question its authenticity and eventually leads to an utter confusion. With the advent of Artificial Intelligence (AI), such work has become much easier for the tricksters. Moreover, it is difficult to find out the flaws even by a prudent person.


This paper would like to focus on the intersection of AI and trademark covering Deceptive Similarity, where AI acting as a ‘double-edged sword’ and the challenges faced by the companies in carrying forward their businesses. It also aims to suggest measures which may be useful to tackle the challenges.


Keywords: Artificial Intelligence, Trademark, Deceptive Similarity, Infringement, Indian Trademark Act, 1999, Intellectual Property



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

Submit Manuscript: Click here

Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

bottom of page