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ARTIFICIAL INTELLIGENCE AND COPYRIGHT LAW : CHALLENGES, OPPORTUNITIES, AND THE FUTURE OF INTELLECTUAL PROPERTY

Authored By: Simranpreet kaur Nagra

Rimt University

ABSTRACT

Artificial Intelligence (AI) is powerful technology that is used to perform tasks or works that require human intelligence. From painting and composing music to writing books and computer codes, AI has been involved in all forms of creative activities. However, the legal implications of such feats have been a subject of debate, with copyright laws being profoundly challenged by the very existence of AI-generated works. The traditional copyright doctrines have been built around the notion of human authorship and have failed to grapple with the complexities of authorship, ownership, originality, and infringement surrounding AI-generated works. This article will explain how artificial intelligence (AI) affects copyright laws and discuss about international legal frameworks and Indian laws.

 Keywords: Artificial Intelligence, Copyright Law, Intellectual Property, AI-generated Content, Copyright Infringement, Generative AI.

INTRODUCTION

Artificial intelligence is  part of computer science which helps to generate machines and software’s that can perform tasks that normally requires human intelligence.  Artificial intelligence has become one of the most dominant technical progresses of the twenty first century. There are several AI systems such as ChatGPT , Gemini, Claude , Midjourney , Black box AI ,and Dall.E that can generate written content , programming code , conversational logics , art& illusions , architectural layouts, video clips, music composition and so on within seconds .these abilities and skills of AI has transformed several fields such as education , business , healthcare, entertainment and many others. Though, they have concurrently questioned the time honored Copyright laws that are drafted by assuming that the creative works originate from human intelligence. [1]

In simple, the term Copyright means ownership of work, the creator is real owner of the work and they can make decisions regarding their work such as who can use it, how it can be used and under whose name it gets published .Copyright laws were made to inspire creativity by providing authors sole rights over their original works.[2] It protects authors work against unauthorized reproduction or distribution.

In contemporary era, AI use has been incline which led to rise in AI generated content or work , which has further raised questions such as , if content is generated with AI then who owns copyright of that content , can an AI system be considered as author of content , does copyright material and work of others used to train AI without owner’s permission is treated as copyright infringement and how the law should balance the rights of authors and creators along with AI Development or innovation .[3]

As day by day AI is getting advanced, it has become difficult to update existing copyright laws across the world according to modern technologies.

UNDERSTANDING ARTIFICIAL INTELLIGENCE

Artificial intelligence refers to computer system, machine or software that can perform tasks that usually needs human intelligence such as problem solving skill, decision making understanding language, learning and so on.

Modern AI mainly uses machine learning algorithms to recognize pattern and generate further content such as articles and essays, paintings and digital artwork, music compositions, videos, computer software, legal drafts, marketing content and so many other works.

Modern AI is different from traditional software which only follows pre-written instructions while modern Ai learns from data and creates new content.[4]

MEANING AND PURPOSE OF COPYRIGHT LAWS

Copyright is part of intellectual property law[5] that provides sole legal rights to creators or owners over their original work. The main objectives of AI laws are to inspire or encourage creativity, rewarding authors, promoting innovation, preventing unauthorized copying and supporting cultural development. Basically, copyright protects literacy work, musical works, artistic works, dramatic works, computer software, films and sound recordings. Though, copyright law is made to protect human creativity or work created by humans but still there is legal debate regarding whether the content created by AI can be protected by copyright or not.

MAJOR LEGAL ISSUES

Following are some major legal issues regarding AI generated content and copyright:

  1. AUTHORSHIP

The first and most fundamental issues concerns authorship .Authorship means that who created the work or the original creater or owner of the work. In various countries only human beings are recognized as an author under copyright laws, this means Ai cannot be the legal owner of content created by it and cannot legally own the copyright of content created by it.  If an AI generates a novel, a painting, a song or any other work with any input by human, who should legally own the copyright? It could be the programmer, the user, the company developing the AI or no one at all. Current legal system has no universally accepted answer.[6]

  1. ORIGINALITY

Only original work is protected under copyright. Originality means the work is created by a person’s own skills, ideas, efforts and creativity. Originality generally requires independent creation, and a minimum level of creativity. Modern AI mainly uses machine learning algorithms to recognize pattern and generate further content such as articles and essays, paintings and digital artwork, music compositions, videos, computer software, legal drafts, marketing content and so many other works rather than creating ideas through human imagination. Therefore a significant legal question arises whether the content generated by AI fulfills originality requirements or not.[7]

  1. OWNERSHIP

Ownership means the legal owner of the work. It is one of major legal issue, which has made ownership dispute more complicated especially when AI is used in creative process. For instance, suppose a person enters detailed prompts to generate an image. Here, the question arises who owns the final work? Whether the owner will be of prompt writer, the AI developer, both jointly or neither. Different countries have different laws to deal with this issue, whether the AI is the real owner of the work or the person using the prompt, usually in some countries human is considered as real author of work even if AI is used to generate work and the AI is not recognised as author or AI generated content.[8]

  1. VIOLATION OF COPYRIGHT LAW DURING TRAINING

Generative AI models require enormous datasets for training. Many datasets includes, books, newspaper articles, photographs, paintings, research papers, websites, software codes and so on.

The real authors of content argues that using their content or copyright material for AI training without their permission violates copyright laws.

AI developers often argue that training constitutes fair use or legitimate data analysis.

This issue is currently being debated worldwide.[9]

  1. OUTPUT SIMILARITY

Another major issue is output similarity which means when an AI generate an output similar to copyright material. For example, artwork imitating famous painters, songs resembling existing music, articles copying writing styles, or software reproducing protected code. [10]

Determining infringement requires courts to assess substantial similarity between works.

INTERNATIONAL LEGAL APPROACHES

UNITED STATES

The US Copyright Office has released guidance on copyright ability of AI-generated works. [11]Works produced by AI alone and not involving significant human creativity are not eligible for copyright registration. However, works involving significant human creativity may receive protection. There are several ongoing lawsuits regarding AI companies and the potential copyright violations associated with training AIs on copyrighted material.

UNITED KINGDOM

The United Kingdom’s Copyright, Designs and Patents Act, 1988, defines that the author of the computer-generated work will be the person who made the necessary arrangements for creation of work. This act was made before development of Modern AI but it is still followed in United Kingdom.  [12]

EUROPEAN UNION

The European Union prioritizes human intellectual creation as the foundation of copyright protection.

The EU has enacted rules for artificial intelligence to make sure AI is used in righteous way while protecting intellectual property and creative works.[13]

INDIAN LEGAL FRAMEWORK

India’s copyright law is governed under Copyright Act, 1957.Section 2(d) of Copyright Act[14], 1957,defines  the term “author” is differently defined for different types of works. According to this section, the author of a computer-generated work is the person “who causes the work to be made.”The Copyright Act was created long before the emergence of such technologies as generative AI. Specifically, the following questions are yet to be answered: Whether AI-generated works can be copyrighted, whether people can own copyright over AI content or what role humans should play in the creation of content. India’s judiciary has not yet issued any clear guidelines on this matter.

IMPORTANT JUDICIAL DEVELOPMENTS

Although there are few AI-specific copyright cases in India, courts in other jurisdictions have started to rule on them:

Thaler v. Perlmutter,( US)

Stephen Thaler tried to register a copyright for an artwork created by an AI system. The court ruled that human authorship is a requirement for copyright.

Pure AI- generated works therefore cannot receive copyright protection under US law. Human skill are required for authorship . This decision has become one of the most significant judgments concerning AI- generated works.[15]

Getty Images v. Stability AI

It is a major copyright case in which Getty Images accused Stability AI of using millions of copyrighted images in the training process of their AI to train AI without any permission.

The legal issues raised in this case were whether the copyright material can be used to train AI without permission, data scraping, and licensing. This case outcome will may shape future AI and copyrights law worldwide.[16]

Authors Lawsuits against AI Developers

There are several authors that has filed lawsuit in court against AI companies regarding using their copyright material to train AI models without their permission.

These matters involved copyright infringement, licensing, compensation and transparency. Their outcomes are expected to improve future AI regulation.

CHALLENGES BEFORE COPYRIGHT LAW

The development in artificial intelligence (AI) has lead to several challenges, following are the challenges occurred with advancement in artificial intelligence;

  • Lack of clear legislation

The majority of copyright laws were written before development of modern AI[17], which does not include laws or challenges faced in modern era. Therefore, several copyright laws are outdated and does not suite modern era.

  • Cross-border Enforcement

  AI systems operate globally.

Copyright laws are different in all areas, which makes enforcement challenging.

  • Economic Impact

AI – generated content can reduce opportunities for: artists, writers, musicians, designers, and photographers. Their raises concerns regarding fair compensation and employment.

  • Ethical Concerns

AI can imitate individual artistic styles without consent. Many feel that such practices decline value their work and negatively impact their earnings as AI can imitate their work without their permission.

  • Transparency

Several AI developers does not share their data that they had used during training which further get involved in copyright infringement like creators use data of other authors without their permission . There should be more transparency regarding usage of data, thus, this issue can be resolved.

ADVANTAGES OF AI IN CREATIVE INDUSTRIES

Although AI has some legal issues, but still it is beneficial for many reasons. Such as :

  • Increased productivity

Creators use AI to make work more efficient such as generating ides, editing content, drafting documents, and improving efficiency.

  • Educational Benefits

AI has improved education standards as it helps students in various ways such as for research, summarization, language improvement, and academic assistance.

  • Accessibility

It  has made process of creation of music, art and digital content much more easier as people without technical experience can create music, art, and digital content easily with help of AI.

  • Economic growth

AI also helps boost the economy. It is a huge contribution to technological and digital business innovations.

NEED FOR LEGAL REFORMS

To balance innovation with creators’ rights, governments should consider several reforms.

  1. Clear definition of AI Authorship

 Legislation should specify: ownership, authorship, and degree of human involvement.

  1. Licensing Frameworks

AI developers should obtain licenses where copyrighted materials are used for training, where appropriate.

  1. Transparency Requirements

The AI companies should disclose information regarding usage of data during training of AI meanwhile protecting the privacy of individuals and trade secrets.

  1. Fair Compensation

In cases where copyright owners whose materials were used in training the AI system to a significant extent, fair compensation should be provided.

  1. International Collaboration

Artificial intelligence operates worldwide, which poses challenges for copyright protection and uniformity. International coordination and collaboration would help establish standardized copyright laws for AI.

THE FUTURE OF AI AND COPYRIGHT

Artificial intelligence technologies are set to revolutionize a number of creative industries. In future AI may be used to make movies , legal documents, write novels and so on government should try to balance copyright laws which protect real autors meanwhile also helps in AI innovation .

CONCLUSION

Artificial Intelligence has been troublesome in many ways in recent years. While there are significant benefits to be reaped from harnessing the power of artificial intelligence, there are also potential consequences for traditional copyright doctrines relating to human creativity and authorship.

Existing copyright laws in many jurisdictions, including India, fail to account for autonomous AI-generated works, as well as mass usage of copyrighted material for training such systems.

A balanced copyright ecosystem that facilitates innovation while protecting the rights of human authors is needed to strike a balance between facilitating innovation and protecting the rights of human authors. Future copyright laws need to ensure that there is clarity on authorship, ownership, licensing, transparency, and compensation to ensure that artificial intelligence and machine learning works are used to enhance human creativity rather than replace it.[18][19]

REFERENCE(S):

[1] Russell and Norvig, Artificial Intelligence: A Modern Approach

[2] Copyright Act 1957, ss 13–14.

[3] WIPO publication on AI and Copyright.

[4] Russell and Norvig, Artificial Intelligence: A Modern Approach

[5] Copyright Act 1957, ss 13–14.

[6] Copyright Act 1957, s 2(d)

[7] Copyright Act 1957, s 13.

[8] Copyright Act 1957, s 2(d)

[9] Getty Images (US) Inc v Stability AI Ltd.

[10] Andersen v Stability AI Ltd.

[11] US Copyright Office, Copyright Registration Guidance (2023).

[12] Copyright, Designs and Patents Act 1988, s 9(3)

[13] Regulation (EU) 2024/1689 (Artificial Intelligence Act).

[14] Copyright Act 1957, s 2(d)

[15] Thaler v Perlmutter 687 F Supp 3d 140 (DDC 2023).

[16] Getty Images (US) Inc v Stability AI Ltd.

[17] Sahibpreet Singh and Manjit Singh, ‘Artificial Intelligence and Intellectual Property Rights: Comparative Transnational Policy Analysis’ (2026). https://arxiv.org/pdf/2601.17892

[18] World Intellectual Property Organization, Artificial Intelligence and Intellectual Property https://www.wipo.int/en/web/frontier-technologies/artificial-intelligence/index⁠ accessed 20 July 2026.

[19] Sahibpreet Singh and Manjit Singh, ‘Artificial Intelligence and Intellectual Property Rights: Comparative Transnational Policy Analysis’ (2026). https://arxiv.org/pdf/2601.17892

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