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Articles de revues sur le sujet « AI-generated creations »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Praja, Chrisna Bagus Edhita, Hary Abdul Hakim, Basri, Yulia Kurniaty, and Elvira Purnama Sari. "Legal Analysis of AI-Generated Creations: Copyright Law Perspectives." E3S Web of Conferences 622 (2025): 03005. https://doi.org/10.1051/e3sconf/202562203005.

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The development of Artificial Intelligence (AI) in digital transformation has a significant impact on people's lives. AI is able to solve complex problems with high accuracy to produce a creation. This raises problems and negative impacts related to copyright. The absence of explicit rules governing the creation of AI leads to legal uncertainty. The 2014 copyright law does not fully cover AI-generated works. Legal analysis shows that AI is just a computer programming tool that performs tasks based on human commands. AI uses algorithms and computer training for recognition, prediction, and deci

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Shen, Jialing. "The Nature and Copyright Ownership of Artificial Intelligence Creations." Journal of Economics and Law 1, no. 2 (2024): 168–74. http://dx.doi.org/10.62517/jel.202414224.

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With the vigorous development of artificial intelligence technology in our country, AI-generated works have brought tremendous convenience to our daily work. However, while developing and using AI-generated works, disputes have arisen in the academic and judicial fields regarding whether AI-generated works have copyright and how to legally protect them. Currently, the legal issues related to AI-generated works in our country mainly include the recognition of the work attributes of AI-generated works and the attribution of copyright ownership. In response, the author first analyzes the current

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Subagiyo, Dwi Tatak, and Hari Wibisono. "THE URGENCY OF ARTIFICIAL INTELLIGENCE REGULATION FROM A JOINT AUTHORSHIP PERSPECTIVE ON COPYRIGHT INFRINGEMENT." Indonesia Private Law Review 5, no. 2 (2025): 135–56. https://doi.org/10.25041/iplr.v5i2.3962.

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This research, titled Urgency of Artificial Intelligence Regulation from the Perspective of Joint Authorship Against Copyright Infringement, aims to analyze the legal framework governing Artificial Intelligence (AI)-based creations in Indonesia and explore the application of the Joint Authorship perspective to AI-generated works. Using a normative legal methodology, the research focuses on library research involving laws, regulations, and related literature. The findings reveal that Indonesia's Copyright Law No. 28 of 2014 does not adequately address AI-based creations. Specifically, Articles

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Aamir Mushtaq, Shahzada, Khurram Baig, Syed Wajdan Rafay Bukhari, and Waqas Ahmad. "Does Pakistan's Copyright and Antitrust Law Protect Creators of AI-Generated Content? A Comparative Study with European Union Jurisdictions." Pakistan Journal of Criminal Justice 4, no. 1 (2024): 55–76. http://dx.doi.org/10.62585/pjcj.v4i1.51.

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With the rise of artificial intelligence (AI), how should copyright and antitrust law handle AI-created creative work? The Copyright Ordinance 1962 and Competition Act 2010 are examined in this context to examine Pakistan's legal system. This study compares Pakistan's legal system to the EU's. The study focuses on the DMA and the EU Copyright Directive (2019/790). These two laws measure Pakistan's legal strength. Compare and contrast the legal systems of Pakistan with those of the European Union to find weaknesses and opportunities for progress in Pakistan's legal structure. This study may ass

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Ye, Chenyu. "Copyright Regulation of Artificial Intelligence Generated Graphs." Highlights in Business, Economics and Management 39 (August 8, 2024): 375–80. http://dx.doi.org/10.54097/8nemsv41.

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With the profound advancement of AI algorithmic models, AI generators have progressively found applications across diverse industries. Nevertheless, this development has presented new challenges to legislation and judicial determinations concerning copyright and related matters. There remains no definitive conclusion on whether AI-generated works can be considered original or fall within the scope of copyright law, nor whether they are eligible for copyright protection. However, a thorough analysis of current domestic and international legislation and judicial precedents suggests that copyrigh

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Park, Chanhyeok, and WooJung Jon. "A Study on the Protection of AI-Generated Works : Focusing on the Degree of Human Involvement." Korea Copyright Commission 148 (December 31, 2024): 115–63. https://doi.org/10.30582/kdps.2024.37.4.115.

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Artificial intelligence (AI) technology is advancing daily and is increasingly permeating our everyday lives. The field of art is no exception; generative AI can produce astonishingly sophisticated creations in a short time. However, the lack of explicit regulations regarding the protection of AI-generated works amplifies uncertainty about their legal safeguarding. To fully enjoy the benefits brought by rapidly developing AI technologies while minimizing their side effects, it is necessary to balance legal policies appropriately. In the current landscape where AI’s performance and functionalit

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AnnisaPutri, Tasya Raehan, Hari Sutra Disemadi, and Rufinus Hotmaulana Hutauruk. "The Ethical Challenges in Copyright AI Creativity." Jurnal Media Hukum 13, no. 1 (2025): 1–15. https://doi.org/10.59414/jmh.v13i1.756.

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n this era of rapid technological advancement, marked by the emergence of Artificial Intelligence (AI), the legal status surrounding AI-generated works sparks considerable debate. The question arises: do these creations warrant legal protection? This study employs a normative legal research method, drawing upon statutory regulations. Findings indicate that AI cannot be deemed a legal subject with rights and obligations, as it is a product of human-made technology. Consequently, AI-generated works do not meet the criteria for copyright protection, namely fixation, originality, and minimal creat

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Vishal Gawali, Chaturdhan Chaubey, Mahesh Gaikwad, Akash Gidde, and Nilesh Bhelkar. "Study on AI Generated Fake-Media Detection." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 10 (2024): 3181–85. http://dx.doi.org/10.47392/irjaem.2024.0470.

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The rapid growth of AI-generated images, especially with techniques such as Generative Adversarial Networks (GANs), has complicated the ability to tell apart genuine content from artificial creations. This issue is vital for preserving the authenticity of visual media, where conventional detection methods often struggle. Current detection approaches concentrate on machine learning and deep learning techniques, including neural networks (CNNs). These methods aim to reveal subtle flaws and irregularities in images, like inconsistencies in pixel distribution and lighting, which serve as critical

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Szczotka, Jerzy. "Artificial Intelligence vs Copyright Law – a Question about the Result of a Clash between Them. Is it Mere Futurology or the Imminent Future?" Studia Iuridica Lublinensia 33, no. 1 (2024): 323–42. http://dx.doi.org/10.17951/sil.2024.33.1.323-342.

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This research paper concerns the copyright-law consequences of generating literary and artistic creations resulting from the “creative activity” of artificial intelligence (AI). The essence of the problem that rapidly gains practical significance boils down to the question whether, at present (de lege lata) and in the future (de lege ferenda), such creations can be protected under copyright law and who should possibly be considered to be the author. The legal-dogmatic analysis of the normative matter, the current state of science and the case law in force applicable here, shows that under the

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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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Adv., Mahabalesh K. Patil. "The Legal Frontier: AI-Driven Innovations and the Future of IP Framework." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 208–18. https://doi.org/10.5281/zenodo.15521494.

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<em>The rapid advancement of Artificial Intelligence is reshaping industries and redefining legal frameworks, particularly in the realm of Intellectual Property law. The paper examines the intersection of AI and IP rights, focusing on critical issues such as inventorship, authorship, and policy development. AI-generated creations challenge traditional legal concepts, raising questions about ownership, accountability, and liability. Current IP laws, primarily designed for human ingenuity, struggle to accommodate AI-generated works, necessitating urgent legal reforms. The paper categorizes AI-dr

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Baishali, Das. "This Art Is Mine but Also My Ai Application's: Moral and Ethical Consequences of AI Applications in Generating Artistic and Literary Creations." Literary Enigma 1, no. 2 (2025): 106–10. https://doi.org/10.5281/zenodo.15359916.

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Abstract   In the twenty-first century, we have witnessed an exponential rise in the usage and dependency on applications that use Artificial Intelligence to create new trends in art and literature. This project aims to posit the different reactions from the different sections of society and further use them to construct a platform to critically examine the position of such digitally, AI-generated works from an ethically cantered perspective in order to highlight the future implications and consequences of continual usage of these applications in the field of humanities and on the grey ar

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Jia, Bingyu. "Research on Legal Protection Paths for AI-Generated Content in International Trade." Revista de Direito Internacional e Globalização Econômica 4, no. 4-Ext (2025): 53–63. https://doi.org/10.23925/2526-6284/2024.v4n4.71574.

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AI-generated content(AIGC) has emerged as a new form of creation across various industries, promoting international trade while undermining the stability and uniformity of copyright protection in international trade and leading to unequal international protection of copyright. Through the analysis of the recognition of the copyrightability of AIGC under international copyright law, it is evident that there is a universal consensus among countries that human involvement is a necessary factor for granting copyright, and that AI itself cannot possess copyright. Under these circumstances, most cou

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Tidjani, Bouzidi Ahmed. "The Copyright and Authorship for Non-Biological Intelligence Self-Creation in Algerian Legislation." Dirasat: Shari'a and Law Sciences 52, no. 3 (2025): 7783. https://doi.org/10.35516/law.v52i3.7783.

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Objectives: Logarithms have enabled artificial intelligence to enter fields once exclusive to humans, allowing it to compete in creativity. AI now produces original works that raise questions among intellectual property scholars regarding whether to grant authorship to AI or exclude it, given the implications for law and practice. This article examines the foundations for considering AI as an author in one section, and in another, discusses the reasons for exclusion. A third section proposes a specific system for AI-generated works. Methods: The article employs a comprehensive, descriptive, an

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Ms., Alakammai G., and Aparna Kumari Ms. "Navigating the Nexus of Creativity and Code: Legal Challenges and Opportunities in AI-Generated Copyright." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 25, 2025): 95–111. https://doi.org/10.5281/zenodo.15514171.

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<em>The advent of AI has blurred the boundaries between human ingenuity and machine precision. The incapacity of artificial intelligence to understand the essence of creativity has had a profound effect on the creative process, impacting the creation of artistic, musical, and literary works. With the advancement of AI, it has become increasingly difficult to distinguish between human creativity and computer accuracy. This paper titled, “ Navigating the Nexus of Creativity and Code: Legal Challenges and Opportunities in AI-Generated Copyright”, delves into the delicate aspects of cr

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Gortázar, Paula. "Navigating subjectivity in AI-generated photography: The quest for ethics and creative agency." Philosophy of Photography 15, no. 1 (2024): 143–57. http://dx.doi.org/10.1386/pop_00097_1.

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This study identifies alternative models for the production of AI-generated images to those currently used by mainstream AI platforms. Based on primitive computational art processes, these systems allow designers to gain greater control over the final visual result while avoiding potential issues with intellectual property theft and breach of privacy. The article starts by analysing the level of artificiality that might be effectively attributed to each part of the creative process involved in the development of AI-generated images. It then moves on to discuss the extent to which individual ac

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Simões, José Manuel, and Wilson Caldeira. "Rhizomatic Creativity: Exploring the Uncharted Territories of AI-Generated Imagery." revistamultidisciplinar.com 6, no. 3 (2024): e202425. http://dx.doi.org/10.23882/rmd.24228.

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Humans are invariably influenced by the technologically driven modes of perception, cognition, and execution, regardless of whether their creations directly engage with technology. At the heart of the anthropocentric worldview lies the construct of universal subjectivity, perpetuated by the dichotomy between subject and object, entwined with the treatment of reality in imagery. Even photography, once reliant on the presence of a photographer and a camera, has evolved into a swift and ubiquitous process through the utilization of artificial intelligence (AI). Our article contemplates the relati

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Komandowska, Zuzanna. "Wyzwania i perspektywy praw autorskich w kontekście prac generowanych przez sztuczną inteligencję." Rocznik Administracji Publicznej 11, no. 1 (2025): 85. https://doi.org/10.4467/24497800rap.25.006.21298.

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Artificial Intelligence (AI) is becoming increasingly advanced and capable of generating authentic and complex artistic, literary, and musical content. As AI continues to evolve, significant questions arise regarding copyright law. Should AI-generated works be protected under copyright law? How can copyright be effectively managed in the case of AI-generated creations? This article aims to analyze contemporary challenges and perspectives related to copyright in the context of Artificial Intelligence, taking into account legal, technological, ethical, and social dimensions. The objective is to

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Kim, Wonoh. "Limitations on Granting Copyrights to AI-Generated Works and Alternative Protection Methodologies." Korea Copyright Commission 142 (June 30, 2023): 33–76. http://dx.doi.org/10.30582/kdps.2023.36.2.33.

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With the development of generative artificial intelligence technology, AI is emerging as a complete creative subject throughout the creative process. Therefore, in this paper, the concept of artificial intelligence-generated works (AGW) with minimal human intervention among AI-related creations is clearly defined through comparison with adjacent concepts, and then comprehensively summarizes the limitations of AGW protection in the interpretation of the current copyright law, and the international trend and overseas trends are briefly checked. Second, if it is difficult to protect by granting c

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Pan, Zhe, Shutong Wang, and Chenglin Zhang. "The Research On The Ownership Of Copyright Of AI-generated Content." Highlights in Business, Economics and Management 39 (August 8, 2024): 362–68. http://dx.doi.org/10.54097/wxs9vv67.

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Generative Artificial Intelligence (GAI) has significantly enriched society by producing a wide range of high-quality cultural products, offering aesthetic experiences comparable to traditional creations. However, the issue of ownership in legal practice remains ambiguous due to the involvement of multiple creators in the production process. To address this, the copyright granting process can be divided into initial authorization and subsequent rights transfer to delineate the rights of various parties involved. Current theories suggest that the commissioned works model effectively safeguards

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Naimat, Nasihah, Mimi Sofiah Ahmad Mustafa, and Ida Rahayu Mahat. "Copyright Protection in Malaysia amid Legal Challenges of AI-Generated Content." International Journal of Research and Innovation in Social Science IX, no. VI (2025): 1587–94. https://doi.org/10.47772/ijriss.2025.906000127.

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The rapid advancement of artificial intelligence (AI) technologies has introduced significant legal challenges to copyright protection in Malaysia. Currently, there are no specific laws addressing AI-generated content. The Malaysia Copyright Act 1987 provides a framework for protecting the rights of copyright owners while promoting creativity and innovation. However, it does not adequately address the complexities associated with works created by AI. The main issue in this context is the question of authorship and ownership, particularly whether autonomously created AI works can qualify for co

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Dhannjay Singh Pundir, Bindu Jindal, Pranav Ranga, et al. "The Rise of Artificial Intelligence in Intellectual Property Law: Patentability and Copyright Issues." Metallurgical and Materials Engineering 31, no. 4 (2025): 40–43. https://doi.org/10.63278/1394.

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The rise of Artificial Intelligence (AI) is transforming and posing important challenges in the field of Intellectual Property (IP) law regarding patentability and copyright. As AI systems increasingly produce inventions and creative works without human involvement, doubts arise on how suitable the present framework of intellectual property rights-invented to protect human-made innovations-is for such a confused state of AI. This paper develops its line of analysis around the AI implications for patent and copyright laws, checking out if current legal structures are such that they can address

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Zhang, Feiyang. "Copyright Issues in Artificial Intelligence: A Comprehensive Examination from the Perspectives of Subject and Object." Communications in Humanities Research 15, no. 1 (2023): 172–82. http://dx.doi.org/10.54254/2753-7064/15/20230664.

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In the era of rapid technological advancement, artificial intelligence (AI) has emerged as a transformative force across various domains. However, this widespread integration of AI technology has given rise to complex intellectual property challenges, particularly in the realm of copyright. This paper explores the intricate landscape of AI copyright issues, addressing disputes related to training data, the copyright status of AI entities, and ownership attribution for creative works generated by AI. From an object perspective, AI-generated creations undeniably meet the requirements of original

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Mahingoda, Chaga Bihari. "Challenges and Frontiers in Intellectual Property Rights Amidst the Rise of Artificial Intelligence." SLIIT Journal of Humanities and Sciences 4, no. 2 (2024): 1–16. http://dx.doi.org/10.4038/sjhs.v4i2.55.

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This article investigates the impact of artificial intelligence (AI) on intellectual property (IP) rights, addressing challenges in ownership and authorship of AI-generated creations while exploring legal and ethical dilemmas in traditional IP domains. It offers strategies for navigating these complexities, drawing on legal precedents, international agreements, and policy recommendations. The research emphasizes the urgent need for legislative updates to address these challenges effectively. Recommendations include the enactment of innovative constitutional provisions, updating IP legislation

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Wyczik, Jakub, and Rafał Wieczerzak. "Rethinking Copyright: The Art of Ownership in AI Outputs." Eastern European Journal of Transnational Relations 8, no. 1 (2024): 39–52. https://doi.org/10.15290/eejtr.2024.08.01.04.

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The emergence of artificial intelligence (AI) as a creator of music, literature and visual art has prompted a critical rethink of copyright. As AI-generated output increasingly mirrors human creativity, the central legal question becomes: who, if anyone, owns the rights to these creations? This article explores the evolving copyright debate, focusing on the challenge of defining authorship in the age of AI. It examines recent legal developments around the world, including key cases such as Thaler, Zarya of the Dawn, and AI Machinations in the United States, as well as landmark decisions from C

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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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Ye, Lin. "Research on Rights Ownership of Artificial Intelligence-Generated Content." Journal of Innovation and Development 7, no. 2 (2024): 1–3. http://dx.doi.org/10.54097/qb4dfy13.

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The AI-generated content that has emerged in recent years is at least formally original compared to traditional works. If such generated content is allowed to exile the market, its potential market effect and industrial interests make it difficult for us to ignore the existence of such generated content. From the perspective of copyright incentive, on the basis of the impersonal nature of artificial intelligence creations and the two-element theory of copyright nature in China, we separate the property rights of works, protect them as property rights alone, and allocate the property rights of

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Węgrzak, Małgorzata, and Concepción Saiz García. "Intellectual Property Challenges for Works Created by Generative Artificial Intelligence Systems from a Spanish Perspective." Gdańskie Studia Prawnicze, no. 4(65)/2024 (December 16, 2024): 108–25. https://doi.org/10.26881/gsp.2024.4.07.

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The rapid development of artificial intelligence (AI), particularly in the field of generative artificial intelligence (GenAI), raises complex questions about data use and copyright protection. This article explores the significant transition from AI models relying on human influence to achieving near-complete autonomy, presenting formidable challenges to existing copyright laws. As AI-generated creations gain widespread use, debates about copyright eligibility and the recognition of AI as a creator emerge. This article also argues against granting copyright to AI creators because their produc

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Kamatović, Tamara. "Augustine and the Posthuman Writer: Toward an Ambiguous Authorship in the Age of Artificial Intelligence." Journal of Posthuman Studies 8, no. 1 (2024): 6–22. https://doi.org/10.5325/jpoststud.8.1.0006.

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Abstract This article explores emerging hybrid ontologies of the posthuman in the context of generative AI technologies and their impact on writing practices. We should regard arguments mobilizing fear of AI-assisted or -generated writing as based on misguided anxieties about the potentials of human creative acts and man/machine hybrid creations (what this article refers to as a model of “weak authorship”). A reading of St. Augustine’s Confessions, a key work in the Judeo-Christian tradition, shows how an early Christian humanist text can give us a model for understanding paternalist structure

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Zhang, Shengyu. "An Exploration of the Chain of Ownership Issue in Artificial Intelligence and Patent Law." Lecture Notes in Education Psychology and Public Media 102, no. 1 (2025): 41–47. https://doi.org/10.54254/2753-7048/2025.24372.

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This paper examines the chain of ownership issue in patent law concerning artificial intelligence (AI), specifically addressing the question of whether AI should be recognized as an inventor. Traditionally, patent law grants ownership to human inventors or employers to foster innovation. However, as AI plays a larger role in the inventive process, questions arise about its eligibility as an inventor. Legally, AI lacks the qualifications of an independent legal subject and cannot fulfill the patent law requirements for inventorship, which are tied to human creativity and intent. Ethically, AIs

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Liu, Yiqian. "The Copyright Protection Issue of Artificial Intelligence-Generated Creations: A Dialectical Analysis of Law and Practice." Lecture Notes in Education Psychology and Public Media 34, no. 1 (2024): 55–63. http://dx.doi.org/10.54254/2753-7048/34/20231891.

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This article discusses the issue of the nature of works generated by artificial intelligence similar to ChatGPT and the protection of copyright laws. The author first analyzes the content of artificial intelligence generated products or the provisions on the nature of works in major national laws. This article further analyzes the legal practices of various countries in the qualitative analysis of artificial intelligence generated works based on cases of artificial intelligence copyright in different countries. We explored two theoretical perspectives regarding the copyrightability of two type

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Lyu, Shijie. "The Technology of Face Synthesis and Editing Based on Generative Models." Journal of Computer Technology and Applied Mathematics 1, no. 4 (2024): 21–27. https://doi.org/10.5281/zenodo.13853413.

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This paper reviews the current state of research on generative AI both domestically and internationally, exploring its potential applications and challenges across various fields. In education, generative AI enhances students' academic writing skills and learning outcomes by providing personalized learning support. In design, it facilitates personalized and innovative creations, enabling designers to generate novel ideas through algorithms. Additionally, the application of generative AI in psychology reveals the complex relationship between emotion analysis and social behavior, while in comput

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Bačárová, Renáta. "Impact of Artificial Intelligence on the Single Market for Digital Content." AUC IURIDICA 71, no. 2 (2025): 169–83. https://doi.org/10.14712/23366478.2025.397.

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The paper deals with the provision of digital content in the Digital Single Market with particular attention to the protection of creators’ rights. The issue is examined in the context of the new phenomenon of artificial intelligence. The research focuses on the legal assessment of the input used to train an AI system and the output obtained from it with regard to the legality of the source and copyright protection. The use of exceptions and limitations, especially text and data mining, appears to be essential. It is also important to assess the legal nature of AI-generated output from a copyr

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Shin, Hongju. "The Artistic Potential of Artificial Intelligence Considered Through Review of AlphaGo." Korean Society of Culture and Convergence 45, no. 8 (2023): 509–20. http://dx.doi.org/10.33645/cnc.2023.08.45.08.509.

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This article delves into the artistic potential of artificial intelligence (AI) through the lens of Lee Se-dol's 2016 match against 'AlphaGo'. Developed by Google DeepMind, AlphaGo marked a turning point in the world of Go, learning from human data initially and later evolving with 'AlphaGoZero' through self-play. Similarly, AI in art begins by assimilating human creations and gradually expands its autonomy. Manovich(2019) argues that AI-generated art breaks from human artistic conventions, establishing novel systematic structures beyond randomness, unlocking creative avenues. However, AI's in

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Aryal, Giri Raj. "Artificial Intelligence (AI) and Copyright Law in Nepal: Bridging Legal Gaps in Digital Era." Sudurpaschim Spectrum 2, no. 2 (2024): 67–80. https://doi.org/10.3126/sudurpaschim.v2i2.80417.

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This research investigates the ways in which copyright legislation adjusts to emerging technologies, with a particular emphasis on digital progress and artificial intelligence (AI). It underscores the challenges posed by AI and digital platforms to conventional copyright principles, notably in terms of authorship and ownership. The study also evaluates Nepal's Copyright Act of 2002, pinpointing shortcomings in its capacity to address concerns such as online piracy and content created by AI. Through a legal comparative method, this research contrasts Nepal's regulations with international frame

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Xing, Jiaji. "The Future of Generative AI: Copyright and Infringement Issues." Lecture Notes in Education Psychology and Public Media 69, no. 1 (2024): 1–7. http://dx.doi.org/10.54254/2753-7048/69/20240143.

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Rapid advancements in generative artificial intelligence (Generative AI) have sparked a global revolution, ushering in a new era of accelerated automation that promises to upend industries, boost productivity, and potentially displace significant portions of the white- and blue-collar workforce. However, the rise of Generative AI also presents numerous challenges, particularly in the realm of copyright and infringement. The use of copyrighted works as training data for AI models has sparked fierce debates among creators, artists, writers, and programmers who object to their creations being uti

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Ruhtiani, Maya, Yuris Tri Naili, Astika Nurul Hidayah, and Hyun Kyung Park. "Generative AI and Copyright Law: A Rule of Law Comparison between Indonesia and South Korea." Kosmik Hukum 25, no. 3 (2025): 428–49. https://doi.org/10.30595/kosmikhukum.v25i3.26268.

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The advancement of generative artificial intelligence (AI) presents significant legal challenges to modern copyright systems, particularly in redefining originality and authorship in relation to AI-generated works. This study critically examines how copyright law in Indonesia and South Korea addresses these challenges through the normative lens of the rule of law. It explores how generative AI disrupts conventional legal concepts, especially concerning authorship attribution, ownership, and the legitimacy of protecting non-human creations under copyright. Using a normative juridical method, th

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Mezei, Péter. "From Leonardo to the Next Rembrandt – The Need for AI-Pessimism in the Age of Algorithms." UFITA 84, no. 2 (2020): 390–429. http://dx.doi.org/10.5771/2568-9185-2020-2-390.

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Artificial Intelligence (AI) has become a part of our daily life, and “algorithmic creativity” has similarly gained a spotlight recently. From paintings to music, machines generate outputs that seem to comply with various prerequisites of copyright protection. The idea (and to some degree the need) to honour such achievements by legal protection has also emerged. This article demonstrates that contrary to the view of the proponents of an AI-copyright regime, time has not ripened for AI-copyright. The core elements of copyright law - namely the concept of authorship, originality and moral right

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Kumar, V. Bhuvana, Dr Narayana Rao Appini, and N. Yedukondalu. "A Novel Framework for Automatic Music Generation Using ‎Hybrid AI Techniques." International Journal of Basic and Applied Sciences 14, no. 2 (2025): 151–62. https://doi.org/10.14419/2eth4t83.

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Automatic music generation using Artificial Intelligence (AI) has seen remarkable progress in recent years, especially due to the ‎development of deep learning techniques. These techniques have not only enabled computers to copy, but have also produced music creatively ‎that resembles human creations. This research introduces a novel and strong approach is MuseHybridNet- a hybrid model designed to carry ‎forward the boundaries of AI-generated music. ‎ What sets is its unique integration of transformer-based architecture, emotional reference conditioning, and adaptive style transfer to music. ‎

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Olar, Cristina Maria. "Intersecția coregrafiei cu tehnologia." Symbolon 25, no. 1 (46) (2024): 89–98. https://doi.org/10.46522/s.2024.01.7.

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Throughout the ages, pioneers of art, guided inwardly by the need for knowledge and development, have pushed the boundaries of possibility and imagination towards evolution. The field of choreography is no stranger to artists who have dedicated their entire activity to discovering new ways of creating choreography and performance in a spectacular manner. The new forms of performance that emerged mainly at the beginning of the 20th century and up to the present day have meet digital art. Artists from all over the world conceive new experimental contexts in a transcendental space. In this resear

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Sun, Shanmin. "Narrative-guided synthesis: Revolutionizing text-to-image translation based on Generative Adversarial Networks." Applied and Computational Engineering 47, no. 1 (2024): 57–60. http://dx.doi.org/10.54254/2755-2721/47/20241146.

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Synthesizing images from textual descriptions remains an intricate yet essential task in the field of artificial intelligence. However, this process often encounters challenges related to intricacy and time consumption. This study introduces a pioneering approach known as narrative-guided synthesis, harnessing the power of Generative Adversarial Networks (GANs) in conjunction with platforms such as Midjournary. This innovative technique transforms abstract narratives into stunning visual creations, streamlining the image generation process by providing real-time feedback and guidance. This res

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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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Cebrián-Robles, Violeta, Francisco José Ruíz-Rey, Manuela Raposo-Rivas, and Manuel Cebrián-de-la-Serna. "Impact of Digital Contexts in the Training of University Education Students." Education Sciences 13, no. 9 (2023): 923. http://dx.doi.org/10.3390/educsci13090923.

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The Internet is an important source of information and is a real ecosystem for learning that has provided important advances in education, although it has also generated problems, especially in terms of data security, identity theft, and cyber-plagiarism. During the COVID-19 pandemic, we had the opportunity to check levels of development in terms of infrastructures and digital competence, and subsequently detected serious problems in online assessment. In particular, the behaviour and digital competence of future teachers are essential, as they will inevitably be role models for their students

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Ma, Wanting. "The Controversy of AI-Generated Technology in Artistic Creation." Lecture Notes in Education Psychology and Public Media 98, no. 1 (2025): 24–28. https://doi.org/10.54254/2753-7048/2025.ht24115.

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With the development of AI technology, particularly the emergence of models such as Stable Diffusion, AI-generated artworks have garnered widespread attention. The "creative" capabilities of AI rely on neural network technology, and the legality of its training data has become a focal point of controversy. Simultaneously, the issue of copyright ownership for AI-generated works urgently requires clarification. Furthermore, the impact of AI technology on traditional artistic creation, such as lowering the barriers to creation and threatening employment opportunities for practitioners, has sparke

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Guan, Aijing. "Research on Copyright Protection of Works Generated by ChatGPT." Journal of Innovation and Development 4, no. 1 (2023): 92–94. http://dx.doi.org/10.54097/jid.v4i1.11429.

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There has been a debate about whether ChatGPT should have copyright. On the one hand, some people believe that AI creations meet the protection requirements of the Copyright Law, and their creative ability and creativity are comparable to those of human creators; On the other hand, there are also those who disagree, arguing that artificial intelligence, as a machine, lacks the qualities of perception and emotion, cannot be treated on an equal footing with human creators, and therefore should not enjoy copyright. In addition, the global legislative status and controversy regarding the copyright

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Voinea, Dan Valeriu. "AI AND COPYRIGHT - WHO OWNS AI GENERATED CONTENT?" Social Sciences and Education Research Review 10, no. 1 (2023): 262–67. https://doi.org/10.5281/zenodo.15252004.

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The rapid development of artificial intelligence (AI) capable of generating creative works challenges traditional intellectual property frameworks, particularly copyright law's reliance on human authorship. This paper synthesizes current legal, ethical, and economic perspectives on the ownership of AI-generated content. Legally, most jurisdictions maintain the requirement of human authorship for copyright protection, leaving purely AI- generated works largely unprotected, though variations exist (e.g., the UK's computer-generated works provision, China's pragmatic approach to human-guided AI).

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Fatimah, Rafharum, Auziah Mumtaz, Fauzan Muhammad Fahrezi, and Diky Zakaria. "AI-Generated Misinformation: A Literature Review." Indonesian Journal of Artificial Intelligence and Data Mining 7, no. 2 (2024): 241. http://dx.doi.org/10.24014/ijaidm.v7i2.26455.

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The expansion of artificial intelligence (AI) technologies has signaled an entirely new era in which the creation and sharing of information, both correct and misleading, are becoming increasingly automated. This research of the literature explores the landscape of AI-generated misinformation, including its various manifestations, underlying technology, societal impact, and detection tools. This paper reviews articles from the Google Scholar database related to AI-Generated Misinformation focusing on the following research questions: the types, content distribution, detector variations, differ

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Ren, Zhen. "The role of AI in theatre: Exploring the creation of AI-generated stage plays." Theoretical and Natural Science 34, no. 1 (2024): 27–32. http://dx.doi.org/10.54254/2753-8818/34/20241146.

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This paper presents an in-depth exploration of the integration of Artificial Intelligence (AI) in theatre, with a focus on the creation of AI-generated stage plays. Utilizing ChatGPT's language model and deep learning algorithms, the research investigates AI's capability to generate compelling scripts, characters, and narratives for theatrical productions. The study employs a mixed-methods approach, analyzing existing AI-generated theatrical works and conducting experimental script creation using AI. The findings highlight both the potential and limitations of AI in theatre, emphasizing the ne

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Hwang, Yohan, Dongkwang Shin, and Jang Ho Lee. "Who owns AI-generated artwork? Revisiting the work of generative AI based on human-AI co-creation." Telematics and Informatics 98 (April 2025): 102266. https://doi.org/10.1016/j.tele.2025.102266.

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Ms., Chagam Raghavi, and Sodisetty Venkata Prasanna Ms. "Artificial Intelligence and the Copyright: Rethinking Intellectual Property in the Age of Generative AI." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 25, 2025): 146–56. https://doi.org/10.5281/zenodo.15514207.

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The rapid growth of artificial intelligence (AI) has transformed various fields, including software development, product development and content creation. However, these developments have raised serious moral and legal questions about copyright. This study examines the relationship between AI and copyright and examines important questions such as: who owns the works produced by AI, whether current copyright rules should be applied, and presents issues raised by generative AI models. To assess how different jurisdictions deal with AI-generated content, the study analyses international legal pra

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