Home / Volume 7, Issue 3 / Beyond Canvas: Unravelling the Legal Tapestry of AI-Infused… Open access · CC BY-NC 4.0
Article Volume 7 Issue 3 1517 - 1524 May 28, 2024

Beyond Canvas: Unravelling the Legal Tapestry of AI-Infused Artistic Creation

Lead author · Corresponding
Nimal Farhan Aripurath
Student at Government Law College, Thiruvananthapuram, Kerala, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.117595
Abstract

In the epoch of Artificial Intelligence (AI), a paradigm shift is witnessed in the landscape of artistic creation, challenging conventional perceptions and giving rise to novel forms of expression. This research explores the rich tapestry of AI art, tracing its historical roots, from pioneering generative art to the resurgence driven by neural networks. Delving into the nuances of copyright law, the paper navigates the intricate terrain of authorship and ownership, particularly when AI plays a significant role in content generation. A comparative analysis of international approaches provides insights into diverse legal frameworks, cultural nuances, and technological considerations governing AI-generated art. Emphasizing the urgency for global copyright standards, the study addresses the complexities of cross-border collaboration, legal consistency, authorship attribution, cultural heritage protection, and equitable compensation. The research envisions a future where harmonized copyright standards foster an ethical and sustainable environment for the coexistence of AI and human creativity, shaping the trajectory of art in the digital era.

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Article
Information
International Journal of Law Management and Humanities, Volume 7, Issue 3, Page 1517 - 1524
DOI: https://doij.org/10.10000/IJLMH.117595
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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