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Articles de revues sur le sujet « AI Generated Trademark »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Ms., Pallabi Gogoi. "The Rise of AI-Generated Trademarks: Infringement Implications and Future Directions." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 185–93. https://doi.org/10.5281/zenodo.15521451.

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<em>The emergence of artificial intelligence (AI) has catalyzed significant innovations across diverse sectors, including intellectual property law. By using AI business enterprises can now generate unique trademarks. This shift has revolutionized branding, offering unprecedented efficiency and innovation. However, this technological leap introduces complex legal implications, particularly concerning trademark infringement and the adaptability of existing intellectual property frameworks. The emergence of AI-generated content introduces a new dimension to this dynamic, as automated systems can

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Pratama, Muh Ersandi Rizki, Sandy Erdi Bimantara, and Giovanni Samantha. "Legal Ramifications of Employing AI-Generated Logos as Brand Identities: A Juridical Examination." Jurnal Hukum Magnum Opus 7, no. 2 (2024): 87–101. http://dx.doi.org/10.30996/jhmo.v7i2.10794.

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The utilization of Artificial Intelligence (AI) technology is experiencing rapid expansion in contemporary times. Within the domain of trademark law, a logo serves as a visual identity utilized to distinguish a product or service from its competitors. The utilization of a logo as a brand identity is afforded specific legal protections pursuant to Indonesian Law No. 20/2016 concerning Trademarks. A pivotal consideration pertains to discerning the rightful owner of the rights to the logo created by AI. Is it the proprietor of the AI software employed in crafting the logo, or is it the proprietor

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Engel, Andreas. "Can a Patent Be Granted for an AI-Generated Invention?" GRUR International 69, no. 11 (2020): 1123–29. http://dx.doi.org/10.1093/grurint/ikaa117.

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Abstract Three patent offices had to answer the question of whether a patent can be granted for an invention for which an Artificial Intelligence (AI) system called DABUS was named as inventor. All applications were dismissed, but for different reasons. While the European Patent Office focused on formal rules, the UK Intellectual Property Office considered more substantive aspects, and the US Patent and Trademark Office relied on statutory language. From a policy perspective, the decisions find support in the fact that there is no clear consensus for AI to be recognized as an inventor, and tha

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Sarjansinh, Rana Hiteshvariben, and Anil Jain. "The Role of AI in Intellectual Property Law: Protecting Innovation in the Age of Automation." Royal International Global Journal of Advance and Applied Research 2, no. 4 (2025): 7–9. https://doi.org/10.5281/zenodo.15542602.

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<strong><em>Abstract</em></strong> <em>The rapid advancement of Artificial Intelligence (AI) is reshaping the landscape of intellectual property (IP) law, raising novel challenges and opportunities for protecting innovation in the digital age. This research paper explores the evolving role of AI in the creation, management, and protection of intellectual property, with a particular focus on its implications for existing legal frameworks. As AI systems increasingly contribute to the development of inventions, artistic works, and designs, questions arise regarding authorship, ownership, and the

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Olajumoke Ifeolua Adebiyi and Oluwafemi Clement Adeusi. "Examining legal and ethical frameworks for protecting intellectual property rights in AI-generated content across creative industries." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1553–61. https://doi.org/10.30574/wjarr.2025.26.3.2239.

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The proliferation of Artificial Intelligence technologies capable of generating creative content has introduced unprecedented challenges to traditional intellectual property frameworks. This research examines the evolving legal and ethical considerations surrounding AI-generated content across various creative industries, including visual arts, music, literature, and software development. The paper analyzes existing IP protection mechanisms, including copyright, patent, and trademark law, evaluating their adequacy and limitations when applied to AI-created works. Our review encompasses both th

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Samad Abdul. "AI innovations and financial performance: An examination of patent filings and revenue generation." International Journal of Science and Research Archive 12, no. 1 (2024): 774–81. http://dx.doi.org/10.30574/ijsra.2024.12.1.0903.

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Artificial intelligence (AI) is increasingly becoming indispensable for businesses, offering numerous advantages to compete in today's dynamic market landscape. This study investigates the relationship between AI patent filings and firms' performance in revenue generation from a point of view, aiming to elucidate the impact of AI investments on revenue generation. Leveraging data from The United States Patent and Trademark Office (USPTO) and employing regression analysis, the research finds a significant correlation between firms with AI patent applications and their generated revenue. The fin

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Quiñones Vilá, Claudia S. "Contemporary Approaches to IP Protection: Developments in the US Art Market." Gdańskie Studia Prawnicze, no. 4(65)/2024 (December 16, 2024): 126–44. https://doi.org/10.26881/gsp.2024.4.08.

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This article examines recent developments in United States (US) intellectual property (IP) law that directly affect the art market, namely: 1) the judicial interpretation of fair use and the use of copyrighted material to train AI systems; 2) the US Copyright Office’s refusal to register certain AI-generated works; and 3) the application of trademark law to NFTs (Non-fungible tokens). The aim of this article is to provide an overview of the constantly evolving legal landscape in this field while highlighting controversies that will likely continue to arise in the near future. As a jurisdiction

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Ms., Abinaya Meyyammai Meyyappan, and Kamalajyothini G. Ms. "AI-Generated Content and Copyright Infringement: A Legal Analysis of OpenAI's Practices and Global IPR Challenges." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 25, 2025): 126–33. https://doi.org/10.5281/zenodo.15514190.

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<em>Generative AI technologies, such as OpenAI’s ChatGPT and DALL·E, are experiencing rapid growth. They have become the force which is disrupting the whole system of traditional intellectual property (IP) and have raised serious questions about authorship, ownership and the violation of rights. This paper is exploring the main challenges and dangers of AI-generated content in the legal and ethical spheres of copyright, trademark, and patent laws, and it explicitly points out the irrevocable weakness of the currently existing IP regimes tailored for human creativity. Focusing on t

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Dr., Manomita Paul. "Influence of Cyber World and Artificial Intelligence on Intellectual Property and Corporate Sector in India." Annual International Journal on Intellectual Property and Corporate Affairs (AIJIPCA) 1 (June 5, 2023): 122–27. https://doi.org/10.5281/zenodo.10790434.

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As the first sophisticated computers started to decode gigantic breaking machines during World War II, the significance of artificial intelligence became apparent. In 1956, the renowned John Mccarthy came to the realization that artificially intelligent computers were required in order for humans to be able to interpret and solve problems before humans could think through and evaluate a scenario.  The ability of a computer or computer-controlled devices to carry out tasks that are only capable of intelligent individuals is known as artificial intelligence (AI). Creating a sustainable econ

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Jaiswal, Reena, Anu Singh, Saloni Rathore, et al. "Role Of Intellectual Property Theories in Addressing Anomalies Created By The Intersection of Artificial Intelligence and Intellectual Property Rights: An Analysis." International Journal of Membrane Science and Technology 10, no. 4 (2023): 2560–66. http://dx.doi.org/10.15379/ijmst.v10i4.3657.

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Globally, the use of artificial intelligence (AI) is expanding exponentially. The issue of managing intellectual property in AI is raised by this surge. Discussions and moderating have taken place, but no resolution has been reached. The issue of whether the work created by an AI should get a special status still exists. When it comes to the control of IPR in artificial intelligence, there are a few oddities. The ownership of patents and copyrights is in doubt, and there are serious worries about the consequences of violation. With the development of technology, there is no certainty on the la

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Marchenko, Volodymyr, Alla Dombrovska, and Valerii Prodaivoda. "COMPARATIVE ANALYSIS OF REGULATORY ACTS OF THE EU COUNTRIES ON THE PROTECTION OF INTELLECTUAL PROPERTY IN THE CONDITIONS OF THE USE OF ARTIFICIAL INTELLIGENCE." Public Administration and Law Review, no. 3(19) (September 30, 2024): 44–66. http://dx.doi.org/10.36690/2674-5216-2024-3-44-66.

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The rise of artificial intelligence (AI) has fundamentally challenged traditional intellectual property (IP) frameworks, particularly in the European Union (EU), where regulatory efforts are aimed at balancing innovation with legal protections. AI’s ability to autonomously create, modify, and use IP raises complex questions about authorship, inventorship, ownership, and enforcement, which existing laws were not designed to handle. As EU countries attempt to adapt their legal systems to address these challenges, a comparative analysis of their regulatory acts is essential to understand how diff

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Bala, Anju. "Intellectual Property and AI: Emerging Challenges and Opportunities." International Journal of Research 11, no. 6 (2024): 412–19. https://doi.org/10.5281/zenodo.12154841.

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<em>Intellectual Property Rights (IPRs) have long played a critical role in shaping the economic, legal, and technological frameworks of nations. With the rapid advancement of Artificial Intelligence (AI) technologies, the significance of IPRs has grown even more pronounced. AI technologies generate vast amounts of data, which can be protected under various IPR mechanisms including patents, copyrights, trademarks, and trade secrets. This research paper delves into the crucial role of IPRs in the realm of AI, examining their influence on innovation, competition, and societal impact.</em> <em>In

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Revolidis, Ioannis. "NFTs and the Legal Landscape -A New Frontier in Intellectual Property, Digital Ownership, Financial Crime, Collective Organisations and Consumer Protectio." International Journal of Law in Changing World 2, no. 3 (2023): 1–2. http://dx.doi.org/10.54934/ijlcw.v2i3.65.

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In the ever-evolving digital landscape, Non-Fungible Tokens (NFTs) have emerged as a disruptive force, challenging the traditional paradigms of digital asset ownership and control. As Fortnow and Terry aptly highlight, NFTs seek to redefine the relationship between creatives, users, and digital artwork, a relationship historically dominated by powerful online intermediaries operating under the access model [1].The prevailing access model, underpinned by a blend of technological, legal, and market dynamics, has largely curtailed the ability of creators and individual internet users to exert mea

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Olubiyi, Ifeoluwa A., and Oshobugie Suleiman Irumekhai. "AI AUTHORSHIP/INVENTORSHIP THROUGH THE LENS OF THEORETICAL JUSTIFICATIONS OF INTELLECTUAL PROPERTY RIGHTS." ABUAD Law Journal 12, no. 1 (2024): 119–34. http://dx.doi.org/10.53982/alj.2024.1201.07-j.

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The role of intellectual property (IP) law in incentivising innovation through the protection of the creations and inventions of the human intellect cannot be overemphasized. Artificial intelligence (AI), as an emerging technology, has had a significant impact on practically all sectors of society, including the field of intellectual property law. Its impact is felt in various fields of intellectual property law, such as patents, copyrights, trademarks, designs, and image rights, among others. AI is increasingly testing the limits and provisions of national and international intellectual prope

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G, Androshchuk. "Intellectual property and artificial intelligence: who is the author?" Artificial Intelligence 27, jai2022.27(1) (2022): 166–82. http://dx.doi.org/10.15407/jai2022.01.166.

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The economic and legal aspects of the regulation of artificial intelligence (AI) technologies, their influence on scientific and inventive activity are studied. The role of protection of intellectual property (IP) - (patent and copyright) in different economies and jurisdictions in ensuring the balance of competing interests, identifies existing problems and identifies ways to solve them. AI is seen as one of the most important dual-use technologies, a new challenge for the economy and the legal system, a new phenomenon that has a multiplier effect, a legal phenomenon in the structure of legal

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Bhave, Vaishnavi S., Sakshi P. More, Shravani P. Chunode, Riya P. Pawar, and Prof. J. C. Bambal. "Enhancing Legal Documentation with AI-Powered Assistance." International Journal of Ingenious Research, Invention and Development (IJIRID) 4, no. 1 (2025): 84–98. https://doi.org/10.5281/zenodo.15108129.

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<em>The Legal Documentation Assistant offers a unique method to obtain legal rights, specializing in copyright, trademark, and banking using a combination of artificial intelligence (AI) technologies. Through the synergy of legal expertise and technological innovation, our dynamic website is designed to offer clients real-time assistance and guidance to help them efficiently navigate complex legal requirements. Our personalised bots provide tailored support and answer queries, ensuring clients receive the help they need. At the core of our platform is a combination of AI-powered chatbots desig

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Lemos, Marco, Pedro J. S. Cardoso, and João M. F. Rodrigues. "Harnessing AI and NLP Tools for Innovating Brand Name Generation and Evaluation: A Comprehensive Review." Multimodal Technologies and Interaction 8, no. 7 (2024): 56. http://dx.doi.org/10.3390/mti8070056.

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The traditional approach of single-word brand names faces constraints due to trademarks, prompting a shift towards fusing two or more words to craft unique and memorable brands, exemplified by brands such as SalesForce© or SnapChat©. Furthermore, brands such as Kodak©, Xerox©, Google©, Häagen-Dazs©, and Twitter© have become everyday names although they are not real words, underscoring the importance of brandability in the naming process. However, manual evaluation of the vast number of possible combinations poses challenges. Artificial intelligence (AI), particularly natural language processin

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Bozhko, Tetiana, and Victor Arefiev. "Neural Networks as a Graphic Design Tool." Bulletin of KNUKiM. Series in Arts, no. 48 (June 24, 2023): 125–35. https://doi.org/10.31866/2410-1176.48.2023.282475.

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The aim of the article is to analyse the capabilities of various neural networks as tools for working on graphic design projects; determine their ability to ensure the quality and effectiveness of generating visual content in each type of product; and highlight the advantages and disadvantages of each of the neural networks. Results. The study provides an overview of feedback from scientists and practitioners regarding the diverse spectrum of neural networks suitable for graphic design tasks. The results of our own practical experience working with neural networks are presented. Scie

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ANTONENKO, АRTEM, YURII MISHKUR, АРСЕНІЙ ТВЕРДОХЛІБ, SERGII VOSTRIKOV, and ANDRII BALVAK. "NEURAL NETWORKS IN ART AS A GRAPHIC DESIGN TOOL." Herald of Khmelnytskyi National University. Technical sciences 345, no. 6(2) (2024): 95–101. https://doi.org/10.31891/2307-5732-2024-345-6-14.

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The article examines the possibilities of various neural networks as tools for the implementation of projects in graphic design, evaluates their ability to ensure quality and efficiency in the creation of visual content for various types of products. The advantages and disadvantages of each neural network are also analyzed. The work presents the opinions of scientists and practitioners about the variety of neural networks that can be used to perform graphic design tasks. In addition, the results of own practical experience of working with neural networks are given. The study confirmed the effe

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B, Mahesh, Manohar ., Manoj Kumar M, Manoj Kumar ., and Shruthi N. "Investigate the IPR Implications of AI including patentability, copyright and trademark issues." International Journal For Multidisciplinary Research 7, no. 3 (2025). https://doi.org/10.36948/ijfmr.2025.v07i03.49676.

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This paper examines the evolving implications of Artificial Intelligence (AI) on Intellectual Property Rights (IPR), with a focus on inventorship, patentability, copyright, and trademarks. Courts and patent office’s globally have addressed the legal status of AI as an inventor, prompting discussions about the need for legal reforms. AI-generated content presents unique challenges to copyright law, particularly regarding authorship and the use of copyrighted materials for training AI models. Trademark law is also adapting to AI's role in brand creation and infringement detection. The paper expl

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Villegas Tovar, Ricardo, and David Pinto Avendaño. "Reconceptualizing inventorship: addressing the challenge of artificial intelligence-generated inventions." AI and Ethics, April 9, 2025. https://doi.org/10.1007/s43681-025-00709-5.

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Abstract The emergence of Artificial Intelligence (AI) has brought significant advancements in various fields, including the generation of inventions. However, this progress has raised complex questions regarding inventorship, particularly in cases where AI systems autonomously generate inventions. This paper explores the question of whether artificial intelligence (AI) entities can be recognized as inventors of patentable inventions. It discusses the challenges of AI-generated inventions and proposes updated patent examination criteria and guidelines. The European Patent Office and the United

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"From Trend to Trademark: The Rise of AI generated Hashtags in Social Media Marketing." Journal of Intellectual Property Rights 30, no. 1 (2025). https://doi.org/10.56042/jipr.v30i1.8533.

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Varghese, Abina Grace, and Ajaya John Mathew. "Navigating Innovation: Legal Challenges at the Crossroads of AI and Patent Law." International Journal of Innovative Science and Research Technology, April 26, 2025, 1434–40. https://doi.org/10.38124/ijisrt/25apr995.

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New artificial intelligence technologies under rapid development change many sectors of industry, impacts patents and other intellectual property, and thus poses legal concerns with strategic economic consequences besides interfering with patent law and artificial intelligence. Concerns about the patentability of ideas produced by AI systems and the regulation of those processes that legal systems ultimately end up sifting arise since AI systems are still becoming involved in the innovation process. This paper addresses fundamental issues: patents generated by AI systems have the right for app

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Bałos, Iga. "Wpływ generatywnej sztucznej inteligencji na ocenę nowości wynalazku." PRAWO i WIĘŹ 54, no. 1 (2025). https://doi.org/10.36128/priw.vi54.1167.

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Novelty is one of the requirements for patentability. Its examination has recently become more challenging due to the availability of GenAI tools. AI is being used to draft patent applications to assist in prior art searches, and it is generating large numbers of disclosures that may have been generated without any human input. This raises the question of their eligibility as prior art. Consideration of this issue was prompted by the United States Patent and Trademark Office (USPTO), which sought public comment on, among other things, the impact of the proliferation of artificial intelligence

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Matulionyte, Rita. "‘AI is not an Inventor’: Thaler v Comptroller of Patents, Designs and Trademarks and the Patentability of AI Inventions." Modern Law Review, July 5, 2024. http://dx.doi.org/10.1111/1468-2230.12907.

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The increasing use of Artificial Intelligence (AI) technologies in inventive processes raises numerous patent law issues, including whether AI can be an inventor under law and who owns the AI‐generated inventions. The UK Supreme Court decision in Thaler v Comptroller of Patents, Designs and Trademarks has provided an ultimate answer to this question: AI cannot be an inventor for the purposes of patent law. This note argues, first, that while such a human‐centric approach to inventorship might discourage the use and development of AI technologies with autonomous invention capabilities, it will

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