Copyright Protection in the Age of Artificial Intelligence:; Author: Tanisha Rani
Artificial Intelligence (AI) has quickly changed how creative content is made, shared and used. Generative AI systems can now produce text, pictures, music, videos, software code and other creative works in seconds. While these advances give chances for creativity and new ideas they also bring tough questions, for copyright law. Traditional copyright rules were mostly made for creativity but AI-generated content may involve only a little or unclear human creative input.
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Introduction
Artificial Intelligence (AI) has quickly changed how creative content is made, shared and used. Generative AI systems can now produce text, pictures, music, videos, software code and other creative works in seconds. While these advances give chances for creativity and new ideas they also bring tough questions, for copyright law. Traditional copyright rules were mostly made for creativity but AI-generated content may involve only a little or unclear human creative input.
The rise of AI now brings up a legal question: Who should get copyright when a piece is made with help from or completely using an artificial intelligence system? Along with who wrote it and who owns it issues, about the data used to train the AI breaking the law, being original, giving credit and making sure human creators are protected have become more and more important.
Understanding Copyright in the AI Era
Copyright protects original expressions of ideas rather than ideas themselves. It generally applies to literary, artistic, musical and other eligible creative works when the requirements of copyright law are satisfied. The basic purpose of copyright is to provide creators with certain exclusive rights while encouraging creativity and dissemination of knowledge.
AI, however, complicates this traditional model. An AI system can analyse large quantities of existing material and generate new content based on patterns identified from that material. This creates uncertainty regarding whether the resulting work is sufficiently original and, more importantly, whether an AI system can itself be considered an author.
The World Intellectual Property Organization (WIPO) has recognised that generative AI is creating significant questions concerning originality, authorship and ownership of AI-generated outputs.
AI-Assisted Works and AI-Generated Works
A distinction must be made between AI-assisted works and AI-generated works.
In an AI-assisted work, a human remains substantially involved in the creative process. The person may use AI as a tool for editing, brainstorming, improving language or producing preliminary material, while making meaningful creative decisions about the final work. In such circumstances, copyright protection may continue to be connected with human contribution.
On the other hand, an AI-generated work may be produced with little or no meaningful human creative involvement. This creates a difficult question because copyright law traditionally connects authorship with human creativity.
The distinction is important because merely entering a short prompt into an AI system does not necessarily establish the extent of human creativity involved in the final output. The level of human selection, arrangement, modification and creative control may therefore become relevant in determining copyright protection.
Position Under Indian Copyright Law
The Indian Copyright Act, 1957 contains an interesting provision concerning computer-generated works. Section 2(d)(vi) provides that, in relation to a literary, dramatic, musical or artistic work which is computer-generated, the “author” is the person who causes the work to be created.
This provision is particularly relevant in the context of AI because it does not expressly recognise the computer or AI system itself as the author. Instead, it identifies a human or legal person responsible for causing the work to be created.
Section 17 of the Copyright Act further provides that, subject to the provisions of the Act, the author of a work is generally the first owner of copyright. Therefore, the interaction between Section 2(d)(vi), authorship and ownership becomes important when determining rights over AI-assisted or computer-generated works
However, the provision was introduced in a technological environment very different from today's advanced generative AI systems. Modern AI can make creative choices that were not contemplated when traditional copyright provisions were drafted. Consequently, questions remain regarding how far the existing provision can effectively address highly autonomous generative AI systems.
Copyright and AI Training Data
Another major issue concerns the material used to train AI models. Generative AI systems may be developed using extremely large datasets containing books, articles, photographs, artwork, music, software code and other material.
The legal concern is whether the copying or processing of copyrighted works during AI training requires authorisation from copyright owners. This issue becomes particularly complex because it may be difficult to determine exactly which copyrighted works contributed to the development of a particular AI output.
WIPO has highlighted the continuing debate concerning the use of copyright-protected works as training inputs and the need to balance the interests of rights holders with technological innovation.
Therefore, copyright protection in the AI era is not limited to the final output. The input side of AI systems is equally important.
Challenges in Protecting Human Creators
AI has made the production of creative content faster and less expensive. However, this development may create difficulties for human creators whose works, voices, images or artistic styles can be reproduced, imitated or incorporated into AI-generated content.
Another challenge is attribution. When AI generates content based on patterns learned from numerous sources, identifying the contribution of individual creators can be extremely difficult. This creates concerns regarding recognition and possible compensation.
WIPO has observed that the increasing use of copyrighted works in AI systems is creating challenges relating to rights management, attribution and compensation
These concerns demonstrate the need for mechanisms that can provide greater transparency regarding the sources used by AI systems while also protecting legitimate technological innovation.
Need for a Balanced Legal Framework
The rapid development of AI makes it difficult for copyright law to rely entirely on traditional concepts. At the same time, creating completely new rights for every AI-generated output could potentially create uncertainty and affect existing copyright principles.
A balanced approach may therefore focus on the degree of human creativity involved in a work, transparency in AI training practices, licensing mechanisms, attribution and effective remedies for infringement.
AI developers could also adopt safeguards that help identify copyrighted material and provide greater transparency about the datasets and processes involved in developing AI systems. At the same time, creators should be able to benefit from technological tools without unnecessarily losing control over their original works.
The international discussion is still developing. WIPO's recent work on AI and intellectual property shows that copyright infrastructure, rights management, attribution and compensation remain central issues in the development of an effective response to generative AI
Conclusion
Artificial Intelligence has challenged several assumptions on which traditional copyright law has been built. The central questions are no longer limited to who creates a work, but also include how much human creativity is required, who owns AI-assisted outputs, whether AI-generated works can receive copyright protection and whether copyrighted material can lawfully be used to train AI systems.
Indian copyright law already contains a provision dealing with computer-generated works under Section 2(d)(vi), but the rapid development of generative AI presents situations that were not specifically contemplated by traditional copyright legislation.
The future of copyright protection will therefore require a careful balance between human creativity, technological innovation and the legitimate interests of copyright owners. Rather than treating AI merely as a replacement for human creativity, copyright law must develop clear and adaptable principles capable of addressing both AI-assisted creation and increasingly autonomous forms of content generation.
References
1. World Intellectual Property Organization (WIPO), Generative AI: Navigating Intellectual Property (2024).
2. World Intellectual Property Organization, “What Can I Protect with a Copyright?”
3. WIPO, Generative AI, WIPO Conversation on Intellectual Property and Frontier Technologies (2024).
4. WIPO, “Artificial Intelligence and Copyright,” WIPO Magazine.
5. The Copyright Act, 1957, § 2(d)(vi), Government of India.
6. The Copyright Act, 1957, § 17, Government of India.
7. Kalpana Tyagi, “Copyright, Text & Data Mining and the Innovation Dimension of Generative AI,” Journal of Intellectual Property Law & Practice (2024).
8. WIPO, Generative AI: Navigating Intellectual Property (2024).
9. WIPO, “Artificial Intelligence and Intellectual Property,” WIPO Frontier Technologies.
10. WIPO Conversation on Intellectual Property and Frontier Technologies, Eleventh Session (2025).