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Trademark Law And AI-Driven Branding: Challenges For The Future Of Economic And Private Stability




Atheesha M V, Sree Narayana Law College, Poothotta

Aneena Babu, Government Law College, Thrissur


ABSTRACT


The advent of artificial intelligence in branding brings transformative capabilities for creating trademarks, capable of logging, mottos, and other identifiers with a very low level of human intervention. This shift poses complex legal and ethical questions because it provides a challenge that traditional trademark law, based on human authorship and standards of distinctiveness, does not understand. As a matter of context, the most basic issues involving AIgenerated trademarks are best quoted here. Ownership and registration issues, enforceability of rights over such marks, and risk of IP infringement are someofthem. Ethical issues involve challenges in responsibility over the content produced via an AI, any biases embedded in an AI, and the impact on human creativity and employment in branding industries. It goes on to cover these legal and ethical issues, with reviews of prevailing frameworks, regulatory challenges, and the need for updated policies on the integration of AI in trademark law. It attempts to provide insights into how better innovation can go hand-in-hand with responsible governance under the emerging landscape of AI-driven branding.


Keywords: AI-generated branding, trademark law, intellectual property, ethics in AI, legal frameworks, artificial intelligence.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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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.

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