Basu, S. orcid.org/0000-0001-5863-854X and Dutt, A. (2024) AI-Generated Art: A Challenge to Creative Integrity? Indian Journal of Law and Technology, Bangalore, India.
Abstract
Artificial Intelligence (AI) systems have experienced rapid growth, permeating diverse sectors such as logistics, transportation, and healthcare, catalysing significant innovations. One particularly transformative area for AI has been the arts. While AI's integration into these fields demonstrates its vast potential to benefit society, its development raises critical legal and ethical concerns, particularly regarding using copyrighted materials without consent. Many AI companies utilise third-party creative works—such as literature, films, and art—as training data for their models, often bypassing the copyright holders' permissions. This practice not only undermines the rights of creators but also threatens the integrity of the industries that rely on these creative works. This paper critically examines India's copyright law, focusing on the provisions of the Copyright Act 1957 that pertain to the use of third-party works as AI training data. It assesses the adequacy of these provisions and underscores the urgent need for enhanced legal protections to safeguard creators and uphold the ethical boundaries of AI development.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access online publication under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). |
Keywords: | AI; Copyright; Art |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Law (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Sep 2024 13:03 |
Last Modified: | 17 Sep 2024 13:04 |
Published Version: | https://www.ijlt.in/post/ai-generated-art-a-challe... |
Status: | Published |
Publisher: | Indian Journal of Law and Technology |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:217314 |