![\"\"](\"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2025\/08\/Owning-AI-Creations-1024x576.jpg\")
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bundle-course—advanced-frontend-development-with-react–next-js By Uplatz<\/a><\/strong><\/h3>\nThis conclusion stems from the “human authorship” doctrine in copyright law and the “human inventorship” requirement in patent law, which mandate a direct, creative contribution from a natural person. The global legal consensus on inventorship has been firmly established through the series of landmark <\/span>DABUS<\/span><\/i> cases, in which courts and patent offices worldwide, including in the US, UK, and EU, have uniformly rejected the notion that an AI system can be named an inventor. While patent law appears settled on this point, the copyright landscape remains a volatile battleground. The central conflict revolves around the degree of human input\u2014specifically through user prompts\u2014required to claim authorship of an AI’s output. The U.S. Copyright Office has taken a firm stance that, with current technology, prompts alone are insufficient to confer authorship, leaving a significant volume of AI-generated content unprotected.<\/span><\/p>\nThis legal vacuum creates significant risks and opportunities. A primary area of litigation concerns the legality of using vast troves of copyrighted data to train AI models, with AI developers asserting a “fair use” defense against widespread infringement claims. Concurrently, the potential for AI systems to generate outputs that are substantially similar to their training data creates a complex chain of liability involving the AI developer, the platform owner, and the end-user.<\/span><\/p>\nIn response to this legal impasse, various jurisdictions are exploring divergent paths. The United Kingdom stands as a notable outlier with its pre-existing statutory protection for “computer-generated works,” a provision now being tested by the scale and autonomy of modern AI. Other potential solutions include the creation of new <\/span>sui generis<\/span><\/i> rights\u2014bespoke IP protections with limited scope and duration, a model already implemented in Ukraine. However, major bodies like the U.S. Copyright Office currently see no need for such legislative reforms, preferring to rely on the flexibility of existing law.<\/span><\/p>\nUltimately, this report concludes that the most immediate and impactful legal conflicts will not be over the ownership of AI outputs, but rather over the legality of training inputs and the allocation of infringement liability. The most probable future involves a hybrid legal and commercial framework: maintaining the high bar of human authorship for full IP protection while developing new contractual and statutory licensing systems to resolve the training data dilemma. This approach seeks to balance the immense innovative potential of AI with the foundational need to protect and incentivize human creativity. For strategic decision-makers, navigating this landscape requires a nuanced understanding of jurisdictional differences, meticulous documentation of human creative input, and a proactive approach to managing IP risk through contractual clarity and technological safeguards.<\/span><\/p>\n <\/p>\n
Part I: The Bedrock of Intellectual Property: Human-Centric Doctrines Under Strain<\/b><\/h2>\n
<\/p>\n
The global intellectual property system, built over centuries, rests on a foundational premise: to incentivize and reward the products of the human mind.<\/span>1<\/span> Copyrights protect the expression of creative ideas, while patents secure rights over novel inventions. The emergence of generative AI, capable of producing sophisticated creative works and potentially inventive solutions with minimal or no direct human intervention, places this human-centric paradigm under unprecedented strain.<\/span>1<\/span> Understanding the contours of this conflict requires a detailed examination of the core legal doctrines of authorship and inventorship that have, until now, served as the unchallenged gatekeepers of IP protection.<\/span><\/p>\n <\/p>\n
1.1 The Pillars of Copyright Protection: Originality and the Human Author<\/b><\/h3>\n
<\/p>\n
Copyright law in the United States, as codified in the Copyright Act, grants protection to “original works of authorship fixed in any tangible medium of expression”.<\/span>3<\/span> This seemingly straightforward statement contains a series of requirements that have become the central battleground for the copyrightability of AI-generated content.<\/span><\/p>\n <\/p>\n
Core Requirements<\/b><\/h4>\n
<\/p>\n
To qualify for copyright protection, a work must satisfy several key criteria, the most critical of which is the doctrine of human authorship.<\/span>3<\/span><\/p>\nFirst, the work must be <\/span>fixed<\/b> in a tangible medium. This requirement stipulates that the work must be captured in a “sufficiently permanent or stable” form from which it can be perceived or reproduced for more than a transitory duration.<\/span>3<\/span> This condition is rarely a point of contention for AI-generated works, as digital text, images, audio files, and code are inherently fixed in a stable medium upon their creation.<\/span>3<\/span><\/p>\nSecond, the work must be <\/span>original<\/b>. This is a constitutional requirement that the U.S. Supreme Court, particularly in the seminal case <\/span>Feist Publications, Inc., v. Rural Telephone Service Co.<\/span><\/i>, established as a dual-pronged standard. The work must be (1) <\/span>independently created<\/b> by the author, meaning it was not copied from another work, and (2) possess at least a <\/span>minimal degree of creativity<\/b>.<\/span>3<\/span> The threshold for creativity is deliberately low, requiring only a “spark” or “modicum” of creative expression.<\/span>4<\/span> This low bar has become a focal point in the debate over whether a user’s textual prompt to an AI system can supply the requisite creativity for copyright protection.<\/span>5<\/span><\/p>\nThird, and most crucially for the AI debate, is the <\/span>human authorship doctrine<\/b>. This principle, while not explicitly defined in the text of the Copyright Act, has been consistently upheld by the U.S. Copyright Office (USCO) and federal courts as a “bedrock requirement of copyright”.<\/span>6<\/span> The USCO’s official position is that copyright law protects only “the fruits of intellectual labor” that “are founded in the creative powers of the mind”.<\/span>3<\/span> Consequently, the Office will refuse to register works produced by machines or mechanical processes that operate “without any creative input or intervention from a human author”.<\/span>6<\/span> This doctrine is the basis for denying copyright to works created by nature, animals\u2014as famously litigated in the “monkey selfie” case,<\/span><\/p>\nNaruto v. Slater<\/span><\/i>\u2014and, now, by autonomous AI systems.<\/span>3<\/span><\/p>\nThe insistence on a human author is not merely a procedural formality but a reflection of the law’s underlying philosophy. Copyright is seen as a human right, recognized in the UN’s Universal Declaration of Human Rights, which protects the “moral and material interests resulting from any scientific, literary or artistic production of which he is the author”.<\/span>10<\/span> This framework is designed to safeguard and encourage human expression.<\/span>10<\/span><\/p>\nThe entire legal architecture preventing copyright for AI-generated works rests not on an explicit statutory command but on a long-standing foundation of administrative and judicial interpretation. The U.S. Constitution and the Copyright Act do not explicitly define “author” or limit the term to humans.<\/span>5<\/span> Instead, the “human authorship” requirement is a construct built through decades of USCO practice and court precedents.<\/span>6<\/span> This interpretive foundation makes the doctrine more legally malleable than a direct constitutional prohibition would be. It implies that Congress could, through new legislation, redefine “author” to encompass AI or create new forms of protection without necessarily facing a constitutional challenge. This legislative pathway thus becomes a more viable potential solution. The ambiguity of the term “author” also forces the debate into a more philosophical realm, compelling courts and regulators to delineate what constitutes a creative “master mind” versus a mere mechanical “tool,” a distinction that is becoming increasingly difficult to draw.<\/span>9<\/span><\/p>\n <\/p>\n
1.2 The Patent Imperative: Conception and the Human Inventor<\/b><\/h3>\n
<\/p>\n
Parallel to copyright’s human authorship doctrine, patent law is built upon the equally foundational requirement of a human inventor. The U.S. Patent Act allows for a patent to be obtained for any “new and useful process, machine, manufacture, or composition of matter,” provided it also meets the criteria of novelty, utility, and non-obviousness.<\/span>12<\/span> However, the entire process is predicated on the existence of an inventor who conceived of the invention.<\/span><\/p>\n <\/p>\n
The Doctrine of Inventorship<\/b><\/h4>\n
<\/p>\n
The “threshold question in determining inventorship is who conceived the invention”.<\/span>13<\/span> This principle establishes<\/span><\/p>\nconception<\/b> as the cornerstone of inventorship.<\/span><\/p>\nConception is a rigorous legal standard, defined as the “formation in the mind of the inventor, of a definite and permanent idea of the complete and operative invention”.<\/span>14<\/span> It is a mental act that must occur in the mind of a natural person.<\/span>13<\/span> A person who merely contributes to the “reduction to practice”\u2014the physical construction or implementation of the invention\u2014without contributing to the conception is not considered an inventor.<\/span>13<\/span> This clear, cognitive standard presents a significant barrier for AI systems, which do not possess minds or consciousness in the human sense and are therefore deemed incapable of conception.<\/span><\/p>\nThis requirement is reinforced by the explicit language of the U.S. Patent Act. Following the Leahy-Smith America Invents Act of 2011, the statute defines an “inventor” as “the individual or… individuals collectively who invented or discovered the subject matter of the invention”.<\/span>13<\/span> U.S. courts, including the Supreme Court, have consistently interpreted the term “individual” in federal statutes to refer to a natural person, i.e., a human being.<\/span>14<\/span> This statutory interpretation formed the unshakable legal basis for the Federal Circuit’s decision in<\/span><\/p>\nThaler v. Vidal<\/span><\/i>, which definitively rejected AI inventorship in the United States.<\/span>14<\/span><\/p>\nThe higher and more specific standard of “conception” in patent law creates a more formidable and clearly defined barrier for AI than copyright’s more nebulous “originality” standard. Patent law’s demand for a cognitive act of forming a “definite and permanent idea” is a high-level intellectual function that current AI cannot perform.<\/span>13<\/span> In contrast, copyright law’s requirement for a mere “spark” of creativity is a much lower and less defined threshold.<\/span>4<\/span> This distinction explains the different legal trajectories of AI-related IP cases. It was relatively straightforward for courts and patent offices globally to conclude that a non-sentient machine like DABUS could not “conceive” an invention, leading to a swift and consistent global consensus against AI inventorship.<\/span>13<\/span> Conversely, the low bar for copyright originality has fueled a far more complex and protracted debate over whether a human’s prompt can supply the necessary “spark,” even if the AI performs the bulk of the expressive labor, leaving the copyrightability of AI-generated works as a highly active and uncertain area of law.<\/span>5<\/span><\/p>\n <\/p>\n
Part II: The Global Legal Chessboard: A Comparative Analysis of AI-Generated IP<\/b><\/h2>\n
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The question of who owns AI-generated IP is not being answered in a global vacuum. Key jurisdictions are developing distinct, and at times conflicting, legal and regulatory frameworks. The United States, United Kingdom, and European Union, as major hubs of both technological innovation and creative output, have emerged as the primary arenas where these new rules are being forged. A comparative analysis reveals a striking global consensus in patent law, contrasted with a fragmented and uncertain landscape in copyright law, with each jurisdiction’s approach reflecting its unique legal traditions and policy priorities.<\/span><\/p>\n <\/p>\n
2.1 United States: The Strict “Human Authorship” Gatekeeper<\/b><\/h3>\n
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The United States has adopted one of the most stringent positions on the necessity of human involvement for IP protection, a stance articulated through decisive court rulings and detailed guidance from its federal IP offices.<\/span><\/p>\n <\/p>\n
Copyright<\/b><\/h4>\n
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The U.S. Copyright Office (USCO) has been unequivocal: works generated purely by AI systems are not copyrightable because they lack the requisite human authorship.<\/span>6<\/span> This position has been developed and clarified through a series of official actions.<\/span><\/p>\nThe <\/span>March 2023 AI Registration Guidance<\/b> is the cornerstone of the USCO’s policy. It mandates that applicants must disclose the inclusion of any more-than-<\/span>de minimis<\/span><\/i> AI-generated content in a work submitted for registration. Furthermore, applicants must explicitly disclaim this AI-generated material, ensuring that any copyright registration granted covers only the human-authored contributions.<\/span>21<\/span><\/p>\nThis policy has been consistently applied in key registration decisions. In the case of the comic book <\/span>Zarya of the Dawn<\/span><\/i>, the USCO granted copyright for the human-authored text and the creative arrangement of the panels but refused to register the images, which were generated by the AI tool Midjourney.<\/span>24<\/span> Similarly, it denied registration for the AI-generated image<\/span><\/p>\nTh\u00e9\u00e2tre D’op\u00e9ra Spatial<\/span><\/i>, which had won an art competition, because the applicant failed to disclaim the AI-generated portions.<\/span>6<\/span> In the<\/span><\/p>\nSURYAST<\/span><\/i> case, registration was refused for an image created by an AI that combined a user’s photograph with the style of Van Gogh’s <\/span>The Starry Night<\/span><\/i>, with the Office concluding that the AI system was “responsible for determining” the final expressive elements.<\/span>6<\/span><\/p>\nA central point of contention is the role of user prompts. The USCO’s current stance is that prompts alone do not constitute sufficient creative control to make the user the author of the output.<\/span>21<\/span> The Office reasons that prompts are akin to unprotectable ideas or instructions given to an artist, while the AI system itself is what ultimately determines the “expressive elements” of the final work.<\/span>2<\/span> The inherent unpredictability of generative AI, where the same prompt can yield different outputs, is cited as evidence of the user’s lack of control.<\/span>28<\/span><\/p>\n <\/p>\n
Patents<\/b><\/h4>\n
<\/p>\n
In the realm of patent law, the U.S. position is even more resolute. The landmark 2022 decision of the U.S. Court of Appeals for the Federal Circuit in <\/span>Thaler v. Vidal<\/i><\/b> definitively settled the question of AI inventorship.<\/span>14<\/span> The court held that the Patent Act’s use of the term “individual” to define an inventor unambiguously refers to a natural person, thereby excluding AI systems.<\/span>16<\/span><\/p>\nBuilding on this judicial precedent, the U.S. Patent and Trademark Office (USPTO) issued its <\/span>Inventorship Guidance for AI-Assisted Inventions<\/b> in February 2024.<\/span>30<\/span> This guidance solidifies the rejection of AI inventorship but clarifies a crucial distinction: AI-<\/span><\/p>\nassisted<\/span><\/i> inventions are patentable. The key criterion is that at least one natural person must have made a “significant contribution” to the conception of the invention.<\/span>31<\/span> The guidance explicitly states that merely recognizing a problem for an AI to solve or simply appreciating the utility of an AI’s output is insufficient to qualify for inventorship.<\/span>16<\/span> A human must be a significant contributor to the mental act of conception itself.<\/span><\/p>\n <\/p>\n
2.2 United Kingdom: A Unique Statutory Anomaly Meets a Global Consensus<\/b><\/h3>\n
<\/p>\n
The United Kingdom presents a fascinating paradox. While its patent law aligns with the global norm, its copyright statute contains a unique provision that sets it apart from nearly every other jurisdiction.<\/span><\/p>\n <\/p>\n
Copyright<\/b><\/h4>\n
<\/p>\n
The UK is a significant outlier due to <\/span>Section 9(3) of the Copyright, Designs and Patents Act 1988 (CDPA)<\/b>. This provision, enacted decades before the advent of modern generative AI, creates a special category for a “computer-generated work” (CGW), defined as a work “generated by computer in circumstances such that there is no human author”.<\/span>2<\/span> For such works, the law designates the author as “the person by whom the arrangements necessary for the creation of the work are undertaken”.<\/span>33<\/span> This creates a legal pathway for protecting works with no direct human creator, granting a 50-year term of protection from the date of creation.<\/span>33<\/span><\/p>\nThe rise of generative AI has transformed this once-obscure provision into the central point of ambiguity in UK copyright law. In the 1980s, the person making the “necessary arrangements” was likely the programmer or operator of a contained system. Today, it is unclear who this person would be in the context of a globally accessible platform like ChatGPT or Midjourney. Is it the user writing the prompt, the engineers who designed the model, the company that owns the servers, or the individuals whose data was used for training? This ambiguity has stretched the statutory language to its breaking point.<\/span>34<\/span> In response, the UK government has launched consultations to consider whether to maintain, remove, or amend the CGW provision, reflecting a deep policy tension between its goals of supporting the UK’s creative industries and fostering its burgeoning AI sector.<\/span>33<\/span><\/p>\n <\/p>\n
Patents<\/b><\/h4>\n
<\/p>\n
Despite its unique copyright law, the UK’s position on patent inventorship is in lockstep with the international consensus. The issue was settled by the UK Supreme Court in its 2023 decision in <\/span>Thaler v. Comptroller-General of Patents, Designs and Trade Marks<\/i><\/b>.<\/span>19<\/span> In this case, which also involved the AI system DABUS, the court unanimously ruled that an “inventor” under the Patents Act 1977 must be a natural person.<\/span>19<\/span> The court’s reasoning focused on the statutory definition of an inventor as the “actual deviser of the invention,” a phrase which it concluded implies a human being with legal personality, which a machine lacks.<\/span>19<\/span><\/p>\n <\/p>\n
2.3 European Union: The “Author’s Own Intellectual Creation” Standard<\/b><\/h3>\n
<\/p>\n
The European Union’s approach is guided by harmonized principles that emphasize human intellect and a new regulatory framework that prioritizes transparency.<\/span><\/p>\n <\/p>\n
Copyright<\/b><\/h4>\n
<\/p>\n
EU copyright law is harmonized around the standard, established by the Court of Justice of the European Union (CJEU) in cases like <\/span>Infopaq<\/span><\/i>, that a work is original only if it is the <\/span>“author’s own intellectual creation”<\/b>.<\/span>40<\/span> This is widely interpreted to require a human author who makes free and creative choices that express their personality.<\/span>40<\/span> The EU’s Directive on Copyright in the Digital Single Market (DSM Directive) does not contain specific provisions for AI authorship, meaning that under the current framework, works generated purely by AI without significant human intervention are unlikely to qualify for copyright protection.<\/span>40<\/span><\/p>\nThe recently enacted <\/span>EU AI Act<\/b> represents a landmark piece of legislation, though its primary focus is on risk management, safety, and ethics rather than IP ownership.<\/span>43<\/span> However, it has profound implications for the IP landscape. The Act imposes significant transparency obligations on providers of general-purpose AI models, most notably requiring them to create and make publicly available “a sufficiently detailed summary” of the copyrighted content used for training their models.<\/span>43<\/span> This provision directly addresses the “input” side of the copyright debate and will provide rights holders with crucial information for potential infringement litigation.<\/span><\/p>\n <\/p>\n
Patents<\/b><\/h4>\n
<\/p>\n
The European Patent Office (EPO) has also firmly rejected the possibility of AI inventorship. In its review of the DABUS applications, the <\/span>EPO’s Legal Board of Appeal<\/b> ruled in 2021 that under the European Patent Convention (EPC), an inventor must be a person with legal capacity.<\/span>45<\/span> The Board of Appeal confirmed that naming an inventor is a formal requirement of the patent application process and that a machine, lacking legal personality, cannot fulfill this role.<\/span>47<\/span><\/p>\n <\/p>\n
2.4 The <\/b>DABUS<\/i><\/b> Saga: A Global Test Case<\/b><\/h3>\n
<\/p>\n
The series of patent applications filed by Stephen Thaler on behalf of his AI system, DABUS, served as a coordinated, global stress test of patent law’s human inventorship requirement.<\/span>49<\/span> Applications were filed in the US, UK, EU, Australia, Germany, New Zealand, and beyond. The outcomes have been remarkably consistent.<\/span><\/p>\nWith near-unanimity, the highest courts and patent offices in every major jurisdiction concluded that their existing patent statutes require an inventor to be a human being.<\/span>17<\/span> This convergence was not the result of an international treaty but rather of independent judicial bodies reaching the same conclusion through parallel interpretation of similar legal concepts like “inventor,” “individual,” and “person”.<\/span>18<\/span> This has effectively created a de facto international norm\u2014a “common law of AI inventorship”\u2014that precedes any formal legislative harmonization. This powerful judicial consensus now places significant pressure on national legislatures, as any country that unilaterally chooses to allow AI inventorship would create substantial friction with the global patent system, potentially rendering its patents unenforceable abroad.<\/span>52<\/span><\/p>\n
This legal vacuum creates significant risks and opportunities. A primary area of litigation concerns the legality of using vast troves of copyrighted data to train AI models, with AI developers asserting a “fair use” defense against widespread infringement claims. Concurrently, the potential for AI systems to generate outputs that are substantially similar to their training data creates a complex chain of liability involving the AI developer, the platform owner, and the end-user.<\/span><\/p>\n In response to this legal impasse, various jurisdictions are exploring divergent paths. The United Kingdom stands as a notable outlier with its pre-existing statutory protection for “computer-generated works,” a provision now being tested by the scale and autonomy of modern AI. Other potential solutions include the creation of new <\/span>sui generis<\/span><\/i> rights\u2014bespoke IP protections with limited scope and duration, a model already implemented in Ukraine. However, major bodies like the U.S. Copyright Office currently see no need for such legislative reforms, preferring to rely on the flexibility of existing law.<\/span><\/p>\n Ultimately, this report concludes that the most immediate and impactful legal conflicts will not be over the ownership of AI outputs, but rather over the legality of training inputs and the allocation of infringement liability. The most probable future involves a hybrid legal and commercial framework: maintaining the high bar of human authorship for full IP protection while developing new contractual and statutory licensing systems to resolve the training data dilemma. This approach seeks to balance the immense innovative potential of AI with the foundational need to protect and incentivize human creativity. For strategic decision-makers, navigating this landscape requires a nuanced understanding of jurisdictional differences, meticulous documentation of human creative input, and a proactive approach to managing IP risk through contractual clarity and technological safeguards.<\/span><\/p>\n <\/p>\n <\/p>\n The global intellectual property system, built over centuries, rests on a foundational premise: to incentivize and reward the products of the human mind.<\/span>1<\/span> Copyrights protect the expression of creative ideas, while patents secure rights over novel inventions. The emergence of generative AI, capable of producing sophisticated creative works and potentially inventive solutions with minimal or no direct human intervention, places this human-centric paradigm under unprecedented strain.<\/span>1<\/span> Understanding the contours of this conflict requires a detailed examination of the core legal doctrines of authorship and inventorship that have, until now, served as the unchallenged gatekeepers of IP protection.<\/span><\/p>\n <\/p>\n <\/p>\n Copyright law in the United States, as codified in the Copyright Act, grants protection to “original works of authorship fixed in any tangible medium of expression”.<\/span>3<\/span> This seemingly straightforward statement contains a series of requirements that have become the central battleground for the copyrightability of AI-generated content.<\/span><\/p>\n <\/p>\n <\/p>\n To qualify for copyright protection, a work must satisfy several key criteria, the most critical of which is the doctrine of human authorship.<\/span>3<\/span><\/p>\n First, the work must be <\/span>fixed<\/b> in a tangible medium. This requirement stipulates that the work must be captured in a “sufficiently permanent or stable” form from which it can be perceived or reproduced for more than a transitory duration.<\/span>3<\/span> This condition is rarely a point of contention for AI-generated works, as digital text, images, audio files, and code are inherently fixed in a stable medium upon their creation.<\/span>3<\/span><\/p>\n Second, the work must be <\/span>original<\/b>. This is a constitutional requirement that the U.S. Supreme Court, particularly in the seminal case <\/span>Feist Publications, Inc., v. Rural Telephone Service Co.<\/span><\/i>, established as a dual-pronged standard. The work must be (1) <\/span>independently created<\/b> by the author, meaning it was not copied from another work, and (2) possess at least a <\/span>minimal degree of creativity<\/b>.<\/span>3<\/span> The threshold for creativity is deliberately low, requiring only a “spark” or “modicum” of creative expression.<\/span>4<\/span> This low bar has become a focal point in the debate over whether a user’s textual prompt to an AI system can supply the requisite creativity for copyright protection.<\/span>5<\/span><\/p>\n Third, and most crucially for the AI debate, is the <\/span>human authorship doctrine<\/b>. This principle, while not explicitly defined in the text of the Copyright Act, has been consistently upheld by the U.S. Copyright Office (USCO) and federal courts as a “bedrock requirement of copyright”.<\/span>6<\/span> The USCO’s official position is that copyright law protects only “the fruits of intellectual labor” that “are founded in the creative powers of the mind”.<\/span>3<\/span> Consequently, the Office will refuse to register works produced by machines or mechanical processes that operate “without any creative input or intervention from a human author”.<\/span>6<\/span> This doctrine is the basis for denying copyright to works created by nature, animals\u2014as famously litigated in the “monkey selfie” case,<\/span><\/p>\n Naruto v. Slater<\/span><\/i>\u2014and, now, by autonomous AI systems.<\/span>3<\/span><\/p>\n The insistence on a human author is not merely a procedural formality but a reflection of the law’s underlying philosophy. Copyright is seen as a human right, recognized in the UN’s Universal Declaration of Human Rights, which protects the “moral and material interests resulting from any scientific, literary or artistic production of which he is the author”.<\/span>10<\/span> This framework is designed to safeguard and encourage human expression.<\/span>10<\/span><\/p>\n The entire legal architecture preventing copyright for AI-generated works rests not on an explicit statutory command but on a long-standing foundation of administrative and judicial interpretation. The U.S. Constitution and the Copyright Act do not explicitly define “author” or limit the term to humans.<\/span>5<\/span> Instead, the “human authorship” requirement is a construct built through decades of USCO practice and court precedents.<\/span>6<\/span> This interpretive foundation makes the doctrine more legally malleable than a direct constitutional prohibition would be. It implies that Congress could, through new legislation, redefine “author” to encompass AI or create new forms of protection without necessarily facing a constitutional challenge. This legislative pathway thus becomes a more viable potential solution. The ambiguity of the term “author” also forces the debate into a more philosophical realm, compelling courts and regulators to delineate what constitutes a creative “master mind” versus a mere mechanical “tool,” a distinction that is becoming increasingly difficult to draw.<\/span>9<\/span><\/p>\n <\/p>\n <\/p>\n Parallel to copyright’s human authorship doctrine, patent law is built upon the equally foundational requirement of a human inventor. The U.S. Patent Act allows for a patent to be obtained for any “new and useful process, machine, manufacture, or composition of matter,” provided it also meets the criteria of novelty, utility, and non-obviousness.<\/span>12<\/span> However, the entire process is predicated on the existence of an inventor who conceived of the invention.<\/span><\/p>\n <\/p>\n <\/p>\n The “threshold question in determining inventorship is who conceived the invention”.<\/span>13<\/span> This principle establishes<\/span><\/p>\n conception<\/b> as the cornerstone of inventorship.<\/span><\/p>\n Conception is a rigorous legal standard, defined as the “formation in the mind of the inventor, of a definite and permanent idea of the complete and operative invention”.<\/span>14<\/span> It is a mental act that must occur in the mind of a natural person.<\/span>13<\/span> A person who merely contributes to the “reduction to practice”\u2014the physical construction or implementation of the invention\u2014without contributing to the conception is not considered an inventor.<\/span>13<\/span> This clear, cognitive standard presents a significant barrier for AI systems, which do not possess minds or consciousness in the human sense and are therefore deemed incapable of conception.<\/span><\/p>\n This requirement is reinforced by the explicit language of the U.S. Patent Act. Following the Leahy-Smith America Invents Act of 2011, the statute defines an “inventor” as “the individual or… individuals collectively who invented or discovered the subject matter of the invention”.<\/span>13<\/span> U.S. courts, including the Supreme Court, have consistently interpreted the term “individual” in federal statutes to refer to a natural person, i.e., a human being.<\/span>14<\/span> This statutory interpretation formed the unshakable legal basis for the Federal Circuit’s decision in<\/span><\/p>\n Thaler v. Vidal<\/span><\/i>, which definitively rejected AI inventorship in the United States.<\/span>14<\/span><\/p>\n The higher and more specific standard of “conception” in patent law creates a more formidable and clearly defined barrier for AI than copyright’s more nebulous “originality” standard. Patent law’s demand for a cognitive act of forming a “definite and permanent idea” is a high-level intellectual function that current AI cannot perform.<\/span>13<\/span> In contrast, copyright law’s requirement for a mere “spark” of creativity is a much lower and less defined threshold.<\/span>4<\/span> This distinction explains the different legal trajectories of AI-related IP cases. It was relatively straightforward for courts and patent offices globally to conclude that a non-sentient machine like DABUS could not “conceive” an invention, leading to a swift and consistent global consensus against AI inventorship.<\/span>13<\/span> Conversely, the low bar for copyright originality has fueled a far more complex and protracted debate over whether a human’s prompt can supply the necessary “spark,” even if the AI performs the bulk of the expressive labor, leaving the copyrightability of AI-generated works as a highly active and uncertain area of law.<\/span>5<\/span><\/p>\n <\/p>\n <\/p>\n The question of who owns AI-generated IP is not being answered in a global vacuum. Key jurisdictions are developing distinct, and at times conflicting, legal and regulatory frameworks. The United States, United Kingdom, and European Union, as major hubs of both technological innovation and creative output, have emerged as the primary arenas where these new rules are being forged. A comparative analysis reveals a striking global consensus in patent law, contrasted with a fragmented and uncertain landscape in copyright law, with each jurisdiction’s approach reflecting its unique legal traditions and policy priorities.<\/span><\/p>\n <\/p>\n <\/p>\n The United States has adopted one of the most stringent positions on the necessity of human involvement for IP protection, a stance articulated through decisive court rulings and detailed guidance from its federal IP offices.<\/span><\/p>\n <\/p>\n <\/p>\n The U.S. Copyright Office (USCO) has been unequivocal: works generated purely by AI systems are not copyrightable because they lack the requisite human authorship.<\/span>6<\/span> This position has been developed and clarified through a series of official actions.<\/span><\/p>\n The <\/span>March 2023 AI Registration Guidance<\/b> is the cornerstone of the USCO’s policy. It mandates that applicants must disclose the inclusion of any more-than-<\/span>de minimis<\/span><\/i> AI-generated content in a work submitted for registration. Furthermore, applicants must explicitly disclaim this AI-generated material, ensuring that any copyright registration granted covers only the human-authored contributions.<\/span>21<\/span><\/p>\n This policy has been consistently applied in key registration decisions. In the case of the comic book <\/span>Zarya of the Dawn<\/span><\/i>, the USCO granted copyright for the human-authored text and the creative arrangement of the panels but refused to register the images, which were generated by the AI tool Midjourney.<\/span>24<\/span> Similarly, it denied registration for the AI-generated image<\/span><\/p>\n Th\u00e9\u00e2tre D’op\u00e9ra Spatial<\/span><\/i>, which had won an art competition, because the applicant failed to disclaim the AI-generated portions.<\/span>6<\/span> In the<\/span><\/p>\n SURYAST<\/span><\/i> case, registration was refused for an image created by an AI that combined a user’s photograph with the style of Van Gogh’s <\/span>The Starry Night<\/span><\/i>, with the Office concluding that the AI system was “responsible for determining” the final expressive elements.<\/span>6<\/span><\/p>\n A central point of contention is the role of user prompts. The USCO’s current stance is that prompts alone do not constitute sufficient creative control to make the user the author of the output.<\/span>21<\/span> The Office reasons that prompts are akin to unprotectable ideas or instructions given to an artist, while the AI system itself is what ultimately determines the “expressive elements” of the final work.<\/span>2<\/span> The inherent unpredictability of generative AI, where the same prompt can yield different outputs, is cited as evidence of the user’s lack of control.<\/span>28<\/span><\/p>\n <\/p>\n <\/p>\n In the realm of patent law, the U.S. position is even more resolute. The landmark 2022 decision of the U.S. Court of Appeals for the Federal Circuit in <\/span>Thaler v. Vidal<\/i><\/b> definitively settled the question of AI inventorship.<\/span>14<\/span> The court held that the Patent Act’s use of the term “individual” to define an inventor unambiguously refers to a natural person, thereby excluding AI systems.<\/span>16<\/span><\/p>\n Building on this judicial precedent, the U.S. Patent and Trademark Office (USPTO) issued its <\/span>Inventorship Guidance for AI-Assisted Inventions<\/b> in February 2024.<\/span>30<\/span> This guidance solidifies the rejection of AI inventorship but clarifies a crucial distinction: AI-<\/span><\/p>\n assisted<\/span><\/i> inventions are patentable. The key criterion is that at least one natural person must have made a “significant contribution” to the conception of the invention.<\/span>31<\/span> The guidance explicitly states that merely recognizing a problem for an AI to solve or simply appreciating the utility of an AI’s output is insufficient to qualify for inventorship.<\/span>16<\/span> A human must be a significant contributor to the mental act of conception itself.<\/span><\/p>\n <\/p>\n <\/p>\n The United Kingdom presents a fascinating paradox. While its patent law aligns with the global norm, its copyright statute contains a unique provision that sets it apart from nearly every other jurisdiction.<\/span><\/p>\n <\/p>\n <\/p>\n The UK is a significant outlier due to <\/span>Section 9(3) of the Copyright, Designs and Patents Act 1988 (CDPA)<\/b>. This provision, enacted decades before the advent of modern generative AI, creates a special category for a “computer-generated work” (CGW), defined as a work “generated by computer in circumstances such that there is no human author”.<\/span>2<\/span> For such works, the law designates the author as “the person by whom the arrangements necessary for the creation of the work are undertaken”.<\/span>33<\/span> This creates a legal pathway for protecting works with no direct human creator, granting a 50-year term of protection from the date of creation.<\/span>33<\/span><\/p>\n The rise of generative AI has transformed this once-obscure provision into the central point of ambiguity in UK copyright law. In the 1980s, the person making the “necessary arrangements” was likely the programmer or operator of a contained system. Today, it is unclear who this person would be in the context of a globally accessible platform like ChatGPT or Midjourney. Is it the user writing the prompt, the engineers who designed the model, the company that owns the servers, or the individuals whose data was used for training? This ambiguity has stretched the statutory language to its breaking point.<\/span>34<\/span> In response, the UK government has launched consultations to consider whether to maintain, remove, or amend the CGW provision, reflecting a deep policy tension between its goals of supporting the UK’s creative industries and fostering its burgeoning AI sector.<\/span>33<\/span><\/p>\n <\/p>\n <\/p>\n Despite its unique copyright law, the UK’s position on patent inventorship is in lockstep with the international consensus. The issue was settled by the UK Supreme Court in its 2023 decision in <\/span>Thaler v. Comptroller-General of Patents, Designs and Trade Marks<\/i><\/b>.<\/span>19<\/span> In this case, which also involved the AI system DABUS, the court unanimously ruled that an “inventor” under the Patents Act 1977 must be a natural person.<\/span>19<\/span> The court’s reasoning focused on the statutory definition of an inventor as the “actual deviser of the invention,” a phrase which it concluded implies a human being with legal personality, which a machine lacks.<\/span>19<\/span><\/p>\n <\/p>\n <\/p>\n The European Union’s approach is guided by harmonized principles that emphasize human intellect and a new regulatory framework that prioritizes transparency.<\/span><\/p>\n <\/p>\n <\/p>\n EU copyright law is harmonized around the standard, established by the Court of Justice of the European Union (CJEU) in cases like <\/span>Infopaq<\/span><\/i>, that a work is original only if it is the <\/span>“author’s own intellectual creation”<\/b>.<\/span>40<\/span> This is widely interpreted to require a human author who makes free and creative choices that express their personality.<\/span>40<\/span> The EU’s Directive on Copyright in the Digital Single Market (DSM Directive) does not contain specific provisions for AI authorship, meaning that under the current framework, works generated purely by AI without significant human intervention are unlikely to qualify for copyright protection.<\/span>40<\/span><\/p>\n The recently enacted <\/span>EU AI Act<\/b> represents a landmark piece of legislation, though its primary focus is on risk management, safety, and ethics rather than IP ownership.<\/span>43<\/span> However, it has profound implications for the IP landscape. The Act imposes significant transparency obligations on providers of general-purpose AI models, most notably requiring them to create and make publicly available “a sufficiently detailed summary” of the copyrighted content used for training their models.<\/span>43<\/span> This provision directly addresses the “input” side of the copyright debate and will provide rights holders with crucial information for potential infringement litigation.<\/span><\/p>\n <\/p>\n <\/p>\n The European Patent Office (EPO) has also firmly rejected the possibility of AI inventorship. In its review of the DABUS applications, the <\/span>EPO’s Legal Board of Appeal<\/b> ruled in 2021 that under the European Patent Convention (EPC), an inventor must be a person with legal capacity.<\/span>45<\/span> The Board of Appeal confirmed that naming an inventor is a formal requirement of the patent application process and that a machine, lacking legal personality, cannot fulfill this role.<\/span>47<\/span><\/p>\n <\/p>\n <\/p>\n The series of patent applications filed by Stephen Thaler on behalf of his AI system, DABUS, served as a coordinated, global stress test of patent law’s human inventorship requirement.<\/span>49<\/span> Applications were filed in the US, UK, EU, Australia, Germany, New Zealand, and beyond. The outcomes have been remarkably consistent.<\/span><\/p>\n With near-unanimity, the highest courts and patent offices in every major jurisdiction concluded that their existing patent statutes require an inventor to be a human being.<\/span>17<\/span> This convergence was not the result of an international treaty but rather of independent judicial bodies reaching the same conclusion through parallel interpretation of similar legal concepts like “inventor,” “individual,” and “person”.<\/span>18<\/span> This has effectively created a de facto international norm\u2014a “common law of AI inventorship”\u2014that precedes any formal legislative harmonization. This powerful judicial consensus now places significant pressure on national legislatures, as any country that unilaterally chooses to allow AI inventorship would create substantial friction with the global patent system, potentially rendering its patents unenforceable abroad.<\/span>52<\/span><\/p>\nPart I: The Bedrock of Intellectual Property: Human-Centric Doctrines Under Strain<\/b><\/h2>\n
1.1 The Pillars of Copyright Protection: Originality and the Human Author<\/b><\/h3>\n
Core Requirements<\/b><\/h4>\n
1.2 The Patent Imperative: Conception and the Human Inventor<\/b><\/h3>\n
The Doctrine of Inventorship<\/b><\/h4>\n
Part II: The Global Legal Chessboard: A Comparative Analysis of AI-Generated IP<\/b><\/h2>\n
2.1 United States: The Strict “Human Authorship” Gatekeeper<\/b><\/h3>\n
Copyright<\/b><\/h4>\n
Patents<\/b><\/h4>\n
2.2 United Kingdom: A Unique Statutory Anomaly Meets a Global Consensus<\/b><\/h3>\n
Copyright<\/b><\/h4>\n
Patents<\/b><\/h4>\n
2.3 European Union: The “Author’s Own Intellectual Creation” Standard<\/b><\/h3>\n
Copyright<\/b><\/h4>\n
Patents<\/b><\/h4>\n
2.4 The <\/b>DABUS<\/i><\/b> Saga: A Global Test Case<\/b><\/h3>\n