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Legislative Probe On The Black Box: Why AI Auditing In Artificial Intelligence Regulation Is Key To Protecting India’s Intellectual Property




Jiya Elizabeth Jikku, BA LLB (Hons.), Jindal Global Law School


ABSTRACT


Artificial Intelligence has perplexed the court of law. Especially in the widespread copyright violations done in the name of training large language models. For bare minimum in regulatory necessity we need to understand the importance of the intersections at play.The copyright violation, AI Governance, India’s interesting position in the AI race and Algorithmic Forensics. Looking at the compelling proposed Copyright Remuneration Collective for AI Training proposed by the Department of Promotion of Trade and Internal Industry; and it’s shortcoming in expecting corporations to be transparent. We dissect current regulations worldwide. Including AI Safety Institutes and their non-enforcement technical expertise that if given legal capacity could revoluntise AI innovation as well as intellectual property protection.


This essay dissects current copyright litigation, corporate realities, technical solutions and the liability of the Indian judiciary to foster legal innovation. Demanding accountability through AI auditing to prosecute those that choose to violate Indian Intellectual Property law in the name of technicality. While also balancing the Indian mission for national AI innovation. By the conclusion we will see investing in AI Data Lineage Engineering in regulation is a double-edged sword that both facilitates the vision for AI Innovation while protecting Indian intellectual property from exploitation.



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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