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With the advances in AI, the ownership of rights in a work generated by artificial intelligence (AI) is becoming unclear.
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With the advances in AI, the ownership of rights in a work generated by artificial intelligence (AI) is becoming unclear.
The rise of generative artificial intelligence is revolutionising content creation, whether text, images, video, or musical works and software. Thanks to advanced models such as GPT, DALL·E, or Stable Diffusion, AI can produce works in a matter of seconds, thereby blurring the lines between human creation and automation.
This subject is crucial because current legislation is not harmonised, giving rise to legal uncertainty. Courts are beginning to rule on the recognition of copyright in works produced by AI, with decisions that are sometimes contradictory. Businesses and creators must adapt their strategies to protect their rights and comply with the applicable regulations.
For example, in 2023, the U.S. Copyright Office refused to grant protection to an image generated by AI, explaining that only a work created by a human could be protected. This position is, however, contested in several countries.
Generative artificial intelligence relies on machine-learning models capable of producing original content from an existing dataset. This technology is used in various fields: automated writing, artistic and musical creation, and software development. These advances call into question the classic principles of rights ownership in intellectual property.
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Under intellectual property law, a creation is protected by copyright provided that it is original and results from human intellectual effort. However, generative AI does not have legal personality, which prevents it, under the current state of the law, from being recognised as an author.
Positions vary from one jurisdiction to another. The European Union and the United States consider that copyright protects only human creations. The United Kingdom, by contrast, recognises that works generated by AI are created under the supervision of a human.
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The development of generative AI raises two major concerns:
With the increase in disputes, several court decisions have clarified the application of copyright to AI-generated creations.
Only a human being can be regarded as the author of a work under the current legal framework. A creation arising purely from an AI model is not eligible for copyright protection. By contrast, where a human uses AI as a tool and steers the creation, they may claim such protection.
For example, a photographer using AI to retouch an image retains their copyright if their intervention remains decisive.
Consequently, businesses and creators must adapt to this uncertain legal framework. Strong human intervention increases the chances of obtaining protection. It is also advisable to formalise the allocation of rights by contract and to anticipate disputes, because the same AI-generated content may be used by several persons, making the enforcement of exclusive rights more complex.
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Generative AI models rely on vast datasets, which may include works protected by copyright. The use of such content must comply with statutory exceptions, such as text and data mining (text and data mining). However, rights holders have a right to object (opt-out) to prevent the exploitation of their works.
Businesses using generative AI tools must guarantee:
The rise of generative AI poses major legal challenges in terms of copyright. While current legislation favours human creators, debate remains open as to the necessary evolution of the legal framework. Adapting regulations, clarifying liabilities, and framing contractual practices will be essential in reconciling innovation with the protection of rights. As generative AI advances, a balance between creation and respect for copyright becomes imperative.
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Under the current state of the law, a work purely generated by AI is generally not protectable, because copyright requires an original creation resulting from human intellectual effort. As AI has no legal personality, it cannot be recognised as an author. Positions nevertheless vary from one country to another.
Because a creation is protected only if it is original and results from human intellectual effort. Yet generative AI does not have legal personality, which prevents it, under the current state of the law, from being recognised as having the capacity of author. Without an identifiable human author, copyright protection is lacking.
The European Union and the United States consider that copyright protects only human creations. The United Kingdom recognises certain works generated by AI produced under human supervision. Japan has accepted protection where a human directed and selected the result. The approaches therefore remain divergent and evolving.
Often, yes. Several offices, including the U.S. Copyright Office, refuse to protect a work entirely generated by AI but agree to protect creations involving significant human intervention. The degree of human choice, direction, and selection in the final result becomes a decisive criterion for protection.
A business must ensure that AI-generated content does not infringe pre-existing rights, on pain of infringement proceedings. It must also bear in mind that such content is not always protectable, which limits its appropriation. Securing the use of generative AI from a legal standpoint is therefore essential.
This is a major and debated issue. Many creators fear that their works may be used to train AI without compensation or recognition. The legal framework is evolving, particularly around data-mining exceptions and the transparency obligations of the AI Act, but protection remains incomplete and contested.
The AI Act provides for transparency obligations for generative AI, in particular the disclosure of the artificial nature of content. By contrast, it does not settle the question of copyright in works generated by AI, which remains governed by intellectual property law and developing case law.
You must identify the uses, verify that the generated content does not infringe existing rights, govern the rights in the outputs by contract, and document the human intervention where protection is sought. Legal support makes it possible to anticipate the risks of infringement and the uncertainty surrounding rights ownership.
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