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Copyright Law And Artificial Intelligence Generated Works: Ownership And Liability




Abhimanyu Bhargava, UPES, Dehradun

ABSTRACT

The emergence of Artificial Intelligence (AI) has brought new challenges to copyright law, particularly with regard to ownership and liability of AI- generated works. As AI technology advances, machines are becoming more capable of generating creative works such as music, literature, and art, raising important questions about the rights of ownership for these works. This research paper explores the current state of copyright law with respect to AI-generated works, including the key legal issues and challenges that arise in determining ownership and liability. The study analyzes the various approaches taken by different jurisdictions around the world in dealing with the ownership and liability of AI-generated works, and examines the role of existing copyright laws in addressing these challenges. Additionally, the paper discusses the potential implications of the emerging legal landscape on the creative industries, AI developers, and other stakeholders. The research concludes with recommendations for policymakers, legal practitioners, and other relevant actors to address the legal challenges posed by AI-generated works, and to ensure the fair and equitable distribution of ownership rights and liabilities.

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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