Navigating the Intersection of Artificial Intelligence and Copyright Law in India
- Team MILR

- Jun 16
- 5 min read
Artificial Intelligence (AI) is transforming how creative content is produced, from writing articles and composing music to generating images and software code. This rapid growth raises complex questions about copyright law, especially in India, where the legal framework was designed long before AI became a reality. Understanding how Indian copyright law applies to AI-generated works is crucial for creators, businesses, and policymakers.
This article explores the challenges AI poses to copyright law in India, focusing on authorship, ownership, originality, infringement, and fair dealing. It reviews relevant provisions of the Indian Copyright Act, 1957, examines landmark cases and international developments, and evaluates whether current laws are adequate. Finally, it suggests reforms to better address AI-related issues in India’s evolving creative landscape.
Understanding Artificial Intelligence and Its Role in Content Creation
Artificial Intelligence refers to computer systems capable of performing tasks that typically require human intelligence. These include learning, reasoning, problem-solving, and creative activities. AI technologies such as machine learning, natural language processing, and generative adversarial networks (GANs) enable machines to create content autonomously or with minimal human input.
AI is increasingly used to generate:
Text: Articles, stories, poetry, and reports
Images: Digital art, photographs, and design elements
Music: Compositions and soundtracks
Software: Code generation and debugging
Videos: Automated editing and deepfake creation
This surge in AI-generated content challenges traditional copyright concepts, which rely on human creativity and authorship.
Key Challenges AI Poses to Indian Copyright Law
Authorship and Ownership
Indian copyright law grants protection to "original literary, dramatic, musical, and artistic works" created by human authors. The Copyright Act, 1957, defines the author as the person who creates the work. AI-generated works, however, may lack direct human authorship, raising questions:
Who qualifies as the author of AI-generated content?
Can AI itself be an author under Indian law?
Does the person who programmed or operated the AI hold ownership?
Currently, Indian law does not recognize AI as a legal person capable of authorship. The closest concept is "work made for hire," where the employer or commissioning party owns the copyright. But this does not fully address cases where AI independently generates content without specific human direction.
Originality
Copyright protection requires originality, meaning the work must originate from the author and show some degree of creativity. AI-generated works often rely on existing data sets and algorithms, which may limit originality:
Are AI-generated works truly original or derivative?
How much human input is needed to qualify as original?
The Indian Copyright Act does not explicitly address originality in the context of AI. Courts may struggle to determine whether AI-generated content meets the originality threshold.
Infringement
AI systems learn from vast amounts of existing content, sometimes reproducing or closely imitating copyrighted works. This raises concerns about:
Unauthorized copying or adaptation by AI
Liability for infringement when AI generates infringing content
Enforcement challenges against AI-generated infringement
Determining who is responsible for infringement—AI developers, users, or others—is complex under current Indian law.
Fair Dealing
Fair dealing provisions in Indian copyright law allow limited use of copyrighted works for purposes such as criticism, review, or research. AI training often involves processing large datasets, which may include copyrighted material. This leads to questions about:
Whether AI training qualifies as fair dealing
Limits on data usage for AI development
Balancing innovation with copyright protection
The law does not clearly define fair dealing in the context of AI training and use.
Relevant Provisions of the Indian Copyright Act, 1957
Several sections of the Indian Copyright Act are relevant to AI-generated works:
Section 2(d): Defines "author" as the person who creates the work.
Section 13: Specifies works eligible for copyright protection.
Section 17: Details ownership of copyright, including works made for hire.
Section 14: Lists exclusive rights of copyright owners.
Section 52: Provides exceptions for fair dealing.
Section 51: Addresses infringement and remedies.
None of these provisions explicitly mention AI or non-human authorship, leaving gaps in legal clarity.
Landmark Indian and International Developments
Indian Cases
India has limited judicial decisions specifically addressing AI and copyright. However, some cases provide insight:
Eastern Book Company v. D.B. Modak (2008): The Supreme Court emphasized originality and human creativity in copyright.
Super Cassettes Industries Ltd. v. Entertainment Network (India) Ltd. (2008): The court recognized the importance of authorship and ownership in music works.
These cases highlight the human-centric approach to copyright, which complicates AI-generated content protection.
International Perspectives
Other jurisdictions have begun addressing AI and copyright:
United States: The U.S. Copyright Office requires human authorship for copyright registration and has denied protection for works created solely by AI.
United Kingdom: The UK Copyright, Designs and Patents Act 1988 includes a provision for computer-generated works, granting copyright to the person who made necessary arrangements for creation.
European Union: The EU is exploring AI's impact on intellectual property through policy discussions and reports but has not enacted specific laws.
These examples show varying approaches, with some recognizing limited rights for AI-generated works under human authorship frameworks.

Legal Status of AI-Generated Works in India
Currently, Indian copyright law does not explicitly protect AI-generated works without human authorship. The law assumes a human creator, so:
Purely AI-generated works may fall outside copyright protection.
Works created with significant human input may qualify for protection under existing rules.
Ownership likely rests with the human who directed or commissioned the AI.
This legal uncertainty may discourage investment in AI creativity or lead to disputes over rights and infringement.
Evaluating the Sufficiency of Current Copyright Laws
The Indian Copyright Act, 1957, was not designed with AI in mind. Its human-centric definitions and lack of AI-specific provisions create challenges:
Authorship ambiguity: No clear rules on AI as author or co-author.
Originality issues: Difficulty assessing creativity in AI outputs.
Infringement liability: Unclear who is responsible for AI-generated infringement.
Fair dealing limits: No guidance on AI training data use.
These gaps suggest the current framework is insufficient to address AI-related copyright issues fully.
Suggestions for Reforming Indian Copyright Law
To better accommodate AI-generated content, India could consider the following reforms:
Define AI-Generated Works and Authorship
Introduce legal definitions for AI-generated works.
Recognize the person who made arrangements for AI creation as the author.
Allow joint authorship where humans and AI collaborate.
Clarify Originality Standards
Develop guidelines on originality for AI-generated content.
Consider the role of human input in determining originality.
Address Infringement and Liability
Establish clear liability rules for AI-generated infringement.
Define responsibilities of AI developers, users, and owners.
Regulate AI Training Data Use
Specify fair dealing exceptions for AI training.
Protect copyright holders while enabling AI innovation.
Encourage Transparency and Accountability
Require disclosure of AI involvement in content creation.
Promote ethical AI use respecting copyright norms.
Future Prospects and Policy Recommendations
India stands at a crossroads where AI creativity challenges traditional copyright concepts. Updating the legal framework is essential to balance protecting creators’ rights and fostering innovation.
Policymakers should:
Engage stakeholders including creators, AI developers, legal experts, and users.
Monitor international developments and harmonize laws where possible.
Promote awareness and education on AI and copyright issues.
Support research on AI’s impact on intellectual property.
By proactively addressing these challenges, India can create a copyright system that supports the creative potential of AI while safeguarding human creativity and legal certainty.

Comments