Artificial Intelligence and Copyright Law in India: Need for a New Legal Framework

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed the nature of creativity, authorship, and ownership in the digital age. AI-generated literary, artistic, musical, and software works have raised serious legal questions concerning copyright protection and the adequacy of existing intellectual property frameworks. Indian copyright law, drafted in an era dominated by human creativity, does not explicitly recognize or regulate AI-generated works. This article critically examines whether the existing provisions of the Copyright Act, 1957 are sufficient to govern AI-generated content and analyses the legal ambiguities relating to authorship, ownership, originality, liability, and fair use. Through a comparative study of jurisdictions such as the United Kingdom, United States, and the European Union, the article evaluates global approaches towards AI and copyright law. It argues that India urgently requires a distinct legal framework capable of balancing innovation, public interest, and creators’ rights in the age of generative AI.

Keywords: Artificial Intelligence, Copyright, Authorship, Intellectual Property, Generative AI, Indian Copyright Law

I. Introduction

Artificial Intelligence has emerged as one of the most transformative technological developments of the twenty-first century. AI systems today are capable of producing poems, paintings, music compositions, software codes, news reports, and cinematic scripts with minimal human intervention. Platforms such as ChatGPT, Midjourney, DALL·E, and Gemini demonstrate how machines can imitate and generate creative expression traditionally associated with human intellect and imagination.

The emergence of AI-generated content has fundamentally challenged the traditional foundations of copyright law. Copyright jurisprudence has historically been premised on the assumption that creativity originates from human labour, skill, and judgment. However, autonomous AI systems increasingly blur the distinction between human and machine-generated creativity. This raises difficult legal questions: Can AI-generated works receive copyright protection? Who should be regarded as the author of such works? Should ownership vest in the programmer, the user, or the AI system itself? Is the existing Indian copyright regime equipped to address these challenges?

The Indian Copyright Act, 1957 does not expressly address AI-generated works. While the Act recognizes computer-generated works under Section 2(d)(vi), the provision was enacted long before the rise of generative AI technologies. Consequently, courts and policymakers face significant uncertainty regarding the legal treatment of AI-generated content.

This article critically analyses the intersection between AI and copyright law in India. It examines the conceptual foundations of copyright, evaluates the shortcomings of the current legal framework, compares foreign approaches, and proposes reforms for adapting Indian copyright law to emerging technological realities.

II. Understanding Artificial Intelligence and AI-Generated Works

Artificial Intelligence refers to computer systems capable of performing tasks that ordinarily require human intelligence, including learning, reasoning, problem-solving, and creative expression. Generative AI, a subset of AI, creates original outputs by analysing vast datasets and identifying patterns through machine learning algorithms.

AI-generated works may include literary works generated through language models; AI-composed music; digitally generated paintings and photographs; software codes; and audio-visual and cinematic content.

Unlike traditional software tools, generative AI systems may produce outputs independently after receiving prompts or instructions from users. The degree of human involvement varies significantly. In some instances, humans merely provide prompts, while the AI autonomously creates the final work.

This development challenges the conventional understanding of authorship. Traditionally, copyright law rewards human intellectual effort because creativity is viewed as an extension of personality, labour, and originality. AI-generated works complicate this framework because the “creator” may not be a natural person.

The legal uncertainty becomes even more pronounced when AI systems are trained using copyrighted datasets without explicit authorization. Questions regarding infringement, fair use, and data scraping have therefore become central to contemporary copyright debates.

III. Copyright Law in India: Existing Legal Framework

The Copyright Act, 1957 governs copyright protection in India. Section 13 of the Act provides protection for original literary, dramatic, musical, and artistic works. The statute primarily assumes human authorship and creativity.

Section 2(d) defines “author” differently for various categories of works. In relation to computer-generated works, Section 2(d)(vi) states that the author shall be “the person who causes the work to be created.”[1] This provision has become central to discussions concerning AI-generated content.

However, the provision suffers from ambiguity. The phrase “person who causes the work to be created” may refer to the programmer who designed the AI model, the company owning the AI system, the user providing prompts, or the entity training the AI. The Act does not clarify which stakeholder should receive copyright ownership.

Indian copyright jurisprudence has consistently emphasized originality and human creativity. In Eastern Book Company v. D.B. Modak, the Supreme Court adopted the “modicum of creativity” standard and held that copyright requires intellectual application beyond mere labour or mechanical effort.[2]

Similarly, in R.G. Anand v. Deluxe Films, the Court stressed the importance of original expression derived from human creativity and skill.[3] These decisions reflect the traditional understanding that copyright exists to protect human intellectual effort.

AI-generated works challenge these principles because the output may not involve direct human creativity. If originality depends upon human intellectual application, AI-generated content may fall outside the scope of protection under existing jurisprudence.

IV. The Problem of Authorship and Ownership

The most significant issue concerning AI-generated works is determining authorship and ownership.

1. AI as Author
Some scholars argue that highly autonomous AI systems should themselves be recognized as authors because they independently generate creative outputs. However, most legal systems reject this approach because AI lacks legal personality, consciousness, and moral agency. Copyright law has historically recognized only natural or juridical persons as rights holders. Extending authorship to AI would create significant jurisprudential and ethical complications, including issues relating to accountability and enforcement.

2. Programmer as Author
Another approach suggests that the programmer or developer of the AI system should be regarded as the author because they designed the algorithm enabling creative generation. However, this approach is problematic because programmers often lack direct involvement in the specific output generated by the AI. Assigning ownership solely to programmers may ignore the contribution of users interacting with the system.

3. User as Author
A third approach identifies the user who provides prompts and instructions as the author. This theory relies on the argument that users exercise creative judgment in generating outputs. Yet this approach also has limitations. Simple prompts may involve minimal intellectual contribution, making it difficult to justify copyright ownership.

4. Joint Ownership Models
Some scholars advocate hybrid ownership models involving programmers, users, and AI companies. Although theoretically attractive, such models may create excessive complexity in enforcement and licensing. The absence of statutory clarity creates uncertainty for creators, investors, and technology companies operating in India.

V. Originality and Human Creativity

Originality is a cornerstone of copyright law. Indian courts have repeatedly emphasized the role of human intellectual effort in establishing originality.

AI-generated works challenge the originality doctrine because machine learning systems generate outputs through statistical prediction and pattern recognition rather than conscious creativity.

Supporters of copyright protection argue that AI outputs may still satisfy originality requirements because humans contribute through designing algorithms, selecting training datasets, engineering prompts, and curating outputs. Critics, however, contend that AI-generated content lacks genuine human creativity and should therefore remain outside copyright protection.

The debate reveals a deeper philosophical question: Is copyright intended to reward creativity itself or merely human creativity? If copyright protection is extended too broadly to AI-generated works, it may dilute the human-centric foundations of intellectual property law.

VI. Comparative Analysis: Foreign Jurisdictions

United Kingdom
The United Kingdom has adopted one of the most AI-friendly copyright approaches. Section 9(3) of the Copyright, Designs and Patents Act, 1988 provides that for computer-generated works, the author shall be “the person by whom the arrangements necessary for the creation of the work are undertaken.”[4] This provision resembles Section 2(d)(vi) of the Indian Copyright Act. However, UK jurisprudence and policy discussions have evolved more actively in addressing AI-related concerns. The UK model recognizes that computer-generated works may receive copyright protection even without direct human authorship.

United States
The United States Copyright Office has taken a stricter position regarding human authorship. In several decisions, including the rejection of copyright claims over AI-generated artworks, the Office clarified that copyright protection requires human creativity.[5] The case of Naruto v. Slater also reinforced the principle that non-human entities cannot claim authorship rights.[6] The American approach strongly preserves the human-centric nature of copyright law.

European Union
The European Union has primarily focused on regulating AI ethically and transparently through the AI Act rather than granting AI-specific copyright rights.[7] European copyright law continues to emphasize human intellectual creation as the basis of protection. However, debates regarding text-and-data mining exceptions and AI training datasets remain highly active. The EU approach seeks to balance innovation with creators’ rights and public interest considerations.

VII. AI Training Data and Copyright Infringement

One of the most controversial issues concerns the use of copyrighted materials for training AI systems. Generative AI models are trained on massive datasets that may include books, photographs, journal articles, paintings, music, and internet content protected by copyright. AI companies often use such material without obtaining explicit consent from rights holders, raising concerns regarding unauthorized reproduction and infringement.

Supporters argue that AI training constitutes transformative use because the system does not merely copy content but learns patterns and relationships. Critics contend that unauthorized data scraping undermines creators’ economic interests and violates copyright protections.

Several lawsuits have emerged globally against AI companies for alleged copyright infringement. Authors, musicians, and visual artists argue that AI systems unfairly exploit their work without compensation.

India currently lacks a clear statutory framework governing AI training datasets. Existing fair dealing provisions under Section 52 of the Copyright Act may not adequately address large-scale AI data extraction practices. This legislative gap creates uncertainty for both technology developers and content creators.

VIII. Ethical and Policy Concerns

The debate surrounding AI and copyright extends beyond technical legal interpretation and involves broader ethical and public policy concerns.

1. Impact on Human Creativity
Excessive protection of AI-generated content may discourage human creativity by flooding markets with machine-generated works. Artists and writers may face economic displacement due to automated content production.

2. Monopoly Concerns
Large technology corporations controlling AI systems may accumulate disproportionate power over cultural production and information ecosystems.

3. Access to Knowledge
Overregulation of AI technologies may hinder innovation, education, and public access to technological advancements.

4. Accountability and Bias
AI systems may reproduce biased or discriminatory content present in training datasets. Determining legal responsibility for harmful outputs remains a significant challenge. Copyright regulation must therefore balance innovation, economic incentives, creators’ rights, and public interest.

IX. Need for Legal Reform in India

India requires comprehensive legislative reforms addressing AI-generated works and copyright liability. The following measures merit serious consideration.

1. Defining AI-Generated Works
The Copyright Act should explicitly define AI-generated and AI-assisted works. Distinguishing between autonomous and human-assisted AI outputs would improve legal certainty.

2. Clarifying Authorship Standards
Legislation should clarify ownership principles based on the degree of human involvement. Human creative contribution should remain central to copyright protection.

3. Regulating AI Training Data
India should establish a transparent licensing framework governing the use of copyrighted datasets for AI training.

4. Introducing Disclosure Obligations
AI-generated works should carry mandatory disclosure requirements to distinguish machine-generated content from human-created works.

5. Establishing Regulatory Authorities
A specialized regulatory body may help address disputes concerning AI-generated content, licensing, and ethical compliance.

6. Balancing Innovation and Rights
Indian law must avoid excessive regulation that discourages technological innovation while simultaneously protecting authors and artists from exploitation.

X. Critical Evaluation

The Indian copyright framework currently operates within a legal paradigm built around human creativity. While Section 2(d)(vi) provides limited recognition to computer-generated works, it is insufficient for addressing modern generative AI systems capable of autonomous content production.

India cannot simply replicate foreign models because its technological ecosystem, creative industries, and socio-economic realities differ substantially from Western jurisdictions. A balanced and context-sensitive approach is therefore necessary.

The US model excessively prioritizes human authorship, potentially limiting technological innovation. Conversely, overly broad recognition of AI-generated copyrights may create monopolistic concentration in favour of large corporations.

India should adopt a middle path that preserves the human-centric foundations of copyright, recognizes limited protection for AI-assisted works, ensures transparency in AI training practices, and safeguards public interest. Legal reform should focus not merely on ownership but also on accountability, fairness, ethical use, and equitable technological development.

XI. Conclusion

Artificial Intelligence has fundamentally transformed the meaning of creativity, authorship, and intellectual production. Traditional copyright frameworks, including the Indian Copyright Act, 1957, were developed in an era where creativity was inseparable from human intellect. Generative AI systems challenge this assumption by autonomously producing literary, artistic, and musical works with minimal human involvement.

The existing Indian legal framework remains inadequate to address the complexities of AI-generated content. Ambiguities regarding authorship, originality, ownership, and liability create uncertainty for creators, users, and technology companies alike. Furthermore, the use of copyrighted datasets for AI training raises serious concerns relating to infringement and fair use.

Comparative analysis demonstrates that no jurisdiction has yet developed a complete solution to these challenges. However, global trends indicate the growing necessity of balancing innovation with protection of human creativity and public interest.

India must therefore undertake comprehensive legislative reform by clearly defining AI-generated works, regulating training datasets, establishing authorship standards, and introducing accountability mechanisms. The objective should not be to replace human creativity with machine-generated monopolies but to create a balanced legal framework capable of accommodating technological progress while preserving the foundational values of copyright law.

In the coming decades, the relationship between AI and intellectual property will shape the future of creativity, innovation, and knowledge economies. India’s response to these challenges will determine whether its legal system remains adaptive, equitable, and technologically relevant in the age of artificial intelligence.

References

[1] Copyright Act, 1957, § 2(d)(vi).
[2] Eastern Book Company v. D.B. Modak, (2008) 1 SCC 1.
[3] R.G. Anand v. Deluxe Films, (1978) 4 SCC 118.
[4] Copyright, Designs and Patents Act 1988 (UK), § 9(3).
[5] US Copyright Office, “Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence” (2023).
[6] Naruto v. Slater, 888 F.3d 418 (9th Cir. 2018).
[7] European Parliament, “Artificial Intelligence Act” (2024).
[8] WIPO, “WIPO Conversation on Intellectual Property and Artificial Intelligence” (2023).

Books

• P. Narayanan, Copyright and Industrial Designs (Eastern Law House, 4th edn.).
• Lionel Bently and Brad Sherman, Intellectual Property Law (Oxford University Press).
• V.K. Ahuja, Law Relating to Intellectual Property Rights (LexisNexis).

Articles

• Ryan Abbott, “Artificial Intelligence, Big Data and Intellectual Property” (2017).
• Jane Ginsburg and Luke Ali Budiardjo, “Authors and Machines” (2019).
• Andres Guadamuz, “Artificial Intelligence and Copyright” (WIPO Magazine, 2017).

Reports and Online Sources

• WIPO AI and IP Policy Reports.
• US Copyright Office AI Guidance Documents.
• European Union AI Act materials.
• Government of India policy discussions on AI regulation.