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Legal Tug-Of-War: Ai’s Role In Security And Intellectual Property Rights




Tanisha Sharma, Amity University, Uttar Pradesh


ABSTRACT


Artificial Intelligence (AI) has altered nearly every aspect of the industries, including finance, healthcare logistics, automotive, and aviation. Innovative technologies can detect irregular patterns, such as spam filtering or payment fraud, and alert organizations to dubious activity in real time, thereby aiding market growth. These innovations and creations are protected under several types of Intellectual Property (IP). However, the shift from AI-related inventions to AI-led inventions has presented significant problems to the current IP system. Along with this, it has presented new hurdles, such as ownership and copyright. As Artificial Intelligence evolves, it is critical to negotiate the issues and safeguard Intellectual Property Rights. Despite the numerous benefits of AI in the legal domain, certain problems about authorship and ownership of created works, as well as the impact on copyright, trademark, trade secret, and patent laws, must be addressed in a reasonable manner. The substantial goal of this article is to analyse the impact of AI on IP Rights, as well as the drawbacks that AI presents in

protecting Intellectual Property. Additionally, the author proposes suggestions to balance incentivizing AI innovation and protecting Intellectual Property Rights in India through an in-depth review of case

studies and legal precedents.


Keywords: Artificial Intelligence, Cybersecurity, Intellectual Property Rights

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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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.

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