Xplore Publications
* Volume 3 of Transformations in Management is open for submissions until 30 August 2026. *

Chapter 94

ABSTRACT FOR SUBMISSION Asmit Singh Uttam

ISBN
978-81-992602-2-0
Published
21 July 2026
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Reading time
~2 min

Full text

Ownership of AI-Generated Works Who owns content created by AI—The User, Developer, or No One? Examine gaps in Copyright Law.

Author : Asmit Singh Uttam , Pursuing BA.LL.B From Symbiosis Law School,

Hyderabad

Co-Author : Sanskruti Rathod , Pursuing BA.LL.B From Symbiosis Law School,

Hyderabad

ABSTARCT

This abstract discusses the question of ownership of AI-generated works that is developing in the modern copyright law. With more and more artificial intelligence systems generating creative works in the form of text, images, music, and software code with little human involvement, existing legal systems are finding it hard to establish the authorship and ownership of said works. The copyright law has traditionally been based on human resource, creativity and originality, which is not clear when machines produce the work independently.

The discussion takes into account rivalry claims to ownership, and the three main stakeholders are addressed: the user who feeds the AI with prompts and commands it, the developer or company that develops and trains the AI system, and the fact that such works can enter the public domain since they do not have an author. It discusses the current legal concepts of originality, authorship, and fixation, and considers their relevance to AI-generated content. It further takes into account developing judicial and policy responses over jurisdictions, pointing out inconsistencies and gaps in regulation.

Moreover, the discussion deals with the implications on a bigger scale, such as economic incentives, accountability, and the safeguarding of human creativity in an ever more automated world. It points out ambiguities in doctrines and practical issues, and thus calls to reform the copyright law to adjust to technological changes without losing sight of innovation or legal certainty. The abstract finally seeks to add to the existing discussions by suggesting a logical structure of ownership delineation in artificial intelligence.

Keywords: AI-Generated Works, Copyright Law, Authorship, Legal Ownership,

Intellectual Property Right.

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