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JUWERIYA NOOR

The impact of AI generated content on copyright law

Written by : JUWERIYA NOOR, 3rd YEAR LAW STUDENT, GALGOTIAS UNIVERSITY

INTRODUCTION

 

Grappling with Authorship and Ownership

AI has continued to develop over the last few years to quickly disrupt various industries as we know it, including healthcare and finance. The concept of artificial content generation—where AI starts creating art, generating text or composing music— is one of the most fascinating and yet challenging forms where AI is widely being explored. MidJourney, open AI GPT-4, DALL·E are all AI systems that can create contents which are as creative as human beings can produce. This advancement as great as it is comes with legal issues especially in the area of law known as copyright law.

 

The Question of Authorship

 

Traditional copyright law is based on the concept of human creativity and it is valid to state that. In most jurisdictions, and as mandated by the Berne convention, it is the “author” or “creator”, meaning a natural person or several natural persons. This creates an urgent concern when it comes to content written by AI – Who is the writer?

 

This is because, unlike human beings, or any machines that possess legal personality, AI systems cannot be termed as authoring systems. Nevertheless, the manner in which the content is produced through artificial intelligence often involves the direct contribution of human actors in one respect or the other. For example, one has to specify to an AI the guidelines that are needed to create any piece of art or music. This raises questions: The human who gave those instructions: is he the author? Or is the AI just a utensil, a tool like a paintbrush, which is used by the human?

 

These questions are still being dealt with differently in various jurisdictions as we speak. For instance, the U.S. Copyright Office still insists that only works that have human authors are protectable by copyright law. Recently, in 2022, the Copyright Office refused to recognise a work created with such a program as the result of the program containing no author, a human being. Though, this is not yet tested fully in the courts, and as the newer technologies take hold in the AI spectrum, so it. legal interpretations.

 

Ownership Right over the Products Created through Artificial Intelligent

 

Apart from authorship, ownership is another area of concern which has been discussed most widely. If a human is considered as the author of AI generated content, there is still much uncertainty as to how much rights they have. To whom do rights belong to, to the person who commissioned or used the AI system entirely? Or do the owner of the created AI software have any rights on the output produced by the created system?

 

Ownership issues have therefore risen to the forefront especially with the emergence of commercial use AI-created Art, writing and music. Nevertheless, there are circumstances where companies developing AI tools declare themselves as owners of informational content created with their assistants. It could foster conflict between the users who feel they have innovative rights by virtue of either contribution or original idea and the companies whose technology provided the platform for the content.

 

One way through which Jurisdictions feature in these disagreements is through licensing agreements. Most AI platforms have incorporated terms of service that determine who owns what. For instance, some of the SNSs allow users to retain copyright for the content they share and create while others argue that they partly own the content or 禁止 users from using the content for marketing purposes. These agreements can be of any type and users must be very careful when it comes to the terms and conditions while creating content using AI tools.

The Various Uses of Copyright to Safeguard Artificial Intelligence Produced Artwork, Written Works, and Music

 

Another head in the recognition of copyright is the fact that the law only protects “original work of authorship.” However, AI systems function in a totally different way by pulling in data sets containing existing pieces to create new ones. Such datasets can include contents that are copyrighted, so there issues of violation of existing works are expected to arise.

 

For instance, once an AI composes a new track, it could have used data from another thousand songs to invent a song that might not look like the others, but could be like them. This is where a creation of an AI generated work brings risks not only to the people who created the AI but also to the artists whose work may be mimicked. As for how copyright law is to deal with possible cases of infringement by AI, that is yet unknown. Will the content created by l AI  be deemed transformative enough to receive protection or is it merely derivative content and so infringing content?

 

Copyright and AI Created Content

 

There are possible uses of fairly field in an AI-related copyright case for instances purposes which consist of education critique or even parody for a limited measure, in accordance with the governing law of the country, under the principle of fair use. By utilising copyrighted content in the process of making their systems “learn,” AI systems enter a legal thorny area, which is, arguably, when the process of fair use starts.

 

For instance, DALL·E AI creates images from an input where it can bring plenty of copyrighted objects into account. Is transferring this data to machine learning algorithms permitted as fair use, or does the creator require payment when their piece is employed in training sets of the algorithms? For the reason that some artists and creators believe that they should receive royalties or payment every time their works are used to train an AI that produces a brand-new profit-generating content.

 

Fair use analysis traditionally involves four factors: The lower secondary factors aren’t sufficient to handle in case of applying fair use: The nature and character of the use of The purpose and character The nature of the copyrighted work The amount used and Its impact upon the market for the copyrighted work. In the case of AI, the analysis may be even further distinguished. When an AI system alters an original work enough in order to generate anew that it would be different then the original than it may be protected by the fair use law. But if it gives out material that is similar to the intended work, it may be deemed as such. World Approach and Legal Issues

 

Speaking of AI-generated content, the legal situation is yet to be formed – the legislation of different countries can be fundamentally different. For instance, there is still much discussion on whether AI-created outputs should be copyright eligible in different countries today such as in the European Union, regarding which creative inputs of data subjects used in producing these works are protected. Japan has introduced a particular law that permits the utilisation of copyrighted stuff in the teaching of techniques to AI apparatuses with the exclusion of gains.

 

On the other hand, the practice in United States has not been quite progressive; the US Copyright Office thus far has declined to register works produced by AI as searchable in the copyright office as long as the authorship is not evident. UK Intellectual Property Office has also said that, while computer generated work can be protected, the duration of protection is limited, and the scope of protection is much less than in a case in which work is created by a human.

 

The WIPO and other global bodies of jurisdiction are gradually realising that there is a need to begin to deal with copyright and related rights issues with reference to AI technologies. The process of how to synchronise the existing copyright legislations across the different jurisdictions to incorporate the issue of account for content created by AI poses great challenges. The common law system is present in various countries, which have unique legal systems, impelling a challenge for establishing one standard way of handling it.

 

Ethical Considerations: This article discusses moral rights and accountability and asks a few questions.

 

Now there is an ethical perspective added to the copyright issues concerning AI-created works as well. Many countries also recognise moral rights in respect of work whereby creators have certain rights over the use or modification of the work despite having assigned economic rights in the work. For instance, an artist would have the right to stop his artwork from being used in a way that he or she considers inappropriate or downright vulgar.

 

In the context of AI, this places questions in terms of accountability and control out of focus. Cooperation will play an important role for the nations in overcoming these challenges. Some countries are likely to follow the example of other countries that have more enlightened policies on AI and copyright, including Japan. At the same time, such global organisations as WIPO can have a central part in the formation of legal guidelines, according to which global information systems, AI-facilitated creations and inventions can be fairly and quite protectively entered by people would be defined.

 

Conclusion: Controlling the Face of Copyright and AI

 

The changes that have been brought by the subject of AI-generated content on the laws of copyright are huge and complex. With the capabilities that AI is developing in terms of creating high quality works of art, legal framework globally is going to have to start addressing aspects such as ownership and her/his infringement. Present laws are based on human creativity but in future it may be possible that machines are the major creative entities.

 

Thus, it still remains unclear for creators, AI developers, and legal experts what exactly they have to face in near future. Due to the intended use of AI, the future of copyright may greatly depend on new ideas by way of legislative changes, judicial readings, or cooperative agreements to protect both humans, and the AI systems they employ as the generators of intellectual property.


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