Examining the Challenges of Intellectual Property in AI-Generated Productions

• URL: http://arxiv.org/abs/2605.26590v1
• Date: Tue, 26 May 2026 06:22:52 GMT
• Title: Examining the Challenges of Intellectual Property in AI-Generated Productions
• Abstract summary: The most critical issue concerns the ownership of moral and economic rights in the absence of a human creator.<n>This paper first reviews the theoretical foundations and existing literature in this domain, then comparatively examines Iranian legal frameworks.<n>The findings reveal significant regulatory gaps within the current Iranian legal framework.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: With the advancement of artificial intelligence systems capable of autonomously generating artistic, literary, musical works, and even inventions without direct human intervention, the intellectual property (IP) regime faces unprecedented questions and challenges. The most critical issue concerns the ownership of moral and economic rights in the absence of a human creator, and how such outputs can be granted legal protection. This paper first reviews the theoretical foundations and existing literature in this domain, then comparatively examines Iranian legal frameworks such as the 1969 Law for the Protection of Authors, Composers, and Artists Rights and the Patent and Trademark Registration Law-alongside other legal systems, including the European Union, the United Kingdom, and the United States. Furthermore, existing legal perspectives on the intellectual property of AI-generated works and the related enforcement challenges are analyzed. The findings reveal significant regulatory gaps within the current Iranian legal framework. To balance the promotion of innovation with the preservation of human creativity, revising existing laws and introducing novel approaches such as defining a specific intellectual property right for AI-generated works or designating ownership among associated human agents appears to be essential.

Related papers

• Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections [53.468443050795344]
  The rapid proliferation of artificial intelligence (AI) technologies has led to a dynamic regulatory landscape.<n>As AI paradigms shift towards greater autonomy, specifically in the form of agentic AI, it becomes increasingly challenging to articulate regulatory stipulations.<n>This paper reviews the evolving European Union (EU) AI regulatory provisions via analyzing 24 relevant documents published between 2024 and 2025.
  arXiv  Detail & Related papers  (2026-03-19T13:50:52Z)
• Who Owns the Knowledge? Copyright, GenAI, and the Future of Academic Publishing [0.0]
  The integration of generative artificial intelligence (GenAI) and large language models (LLMs) into scientific research and higher education presents a paradigm shift.<n>This study examines the complex intersection of AI and science, with a specific focus on the challenges posed to copyright law and the principles of open science.
  arXiv  Detail & Related papers  (2025-11-24T10:34:38Z)
• From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection [26.167194142428475]
  ArtBulb is an interpretable and quantifiable framework for AI art copyright judgment.<n>We present AICD, the first benchmark dataset for AI art copyright annotated by artists and legal experts.
  arXiv  Detail & Related papers  (2025-07-07T08:45:08Z)
• The Fundamental Rights Impact Assessment (FRIA) in the AI Act: Roots, legal obligations and key elements for a model template [55.2480439325792]
  Article aims to fill existing gaps in the theoretical and methodological elaboration of the Fundamental Rights Impact Assessment (FRIA)<n>This article outlines the main building blocks of a model template for the FRIA.<n>It can serve as a blueprint for other national and international regulatory initiatives to ensure that AI is fully consistent with human rights.
  arXiv  Detail & Related papers  (2024-11-07T11:55:55Z)
• Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI [2.2780130786778665]
  Generative AI models generating near-replicas of copyrighted material highlight the need to adapt current legal frameworks.<n>Most existing research on copyright in AI takes a purely computer science or law-based approach.<n>This survey adopts a comprehensive approach synthesizing insights from law, policy, economics, and computer science.
  arXiv  Detail & Related papers  (2024-03-31T22:10:01Z)
• Generative AI and US Intellectual Property Law [0.0]
  It remains to be seen whether human content creators can retain their intellectual property rights against generative AI software. Early signs from various courts are mixed as to whether and to what degree the results generated by AI models meet the legal standards of infringement under existing law.
  arXiv  Detail & Related papers  (2023-11-27T17:36:56Z)
• Report of the 1st Workshop on Generative AI and Law [78.62063815165968]
  This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw) A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI.
  arXiv  Detail & Related papers  (2023-11-11T04:13:37Z)
• Is the U.S. Legal System Ready for AI's Challenges to Human Values? [16.510834081597377]
  This study investigates how effectively U.S. laws confront the challenges posed by Generative AI to human values. We identify notable gaps and uncertainties within the existing legal framework regarding the protection of fundamental values. We advocate for legal frameworks that evolve to recognize new threats and provide proactive, auditable guidelines to industry stakeholders.
  arXiv  Detail & Related papers  (2023-08-30T09:19:06Z)
• Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation [61.77881142275982]
  This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
  arXiv  Detail & Related papers  (2022-06-08T12:32:08Z)
• An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
  This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence. The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
  arXiv  Detail & Related papers  (2021-05-07T12:01:31Z)
• How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence [81.04070052740596]
  Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. This paper introduces the history, the current state, and the future directions of research in LegalAI.
  arXiv  Detail & Related papers  (2020-04-25T14:45:15Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.