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Ownership of AI-Generated Outputs and Their Implications for Traditional Intellectual Property Rules

Author

Listed:
  • Hadjab Ali

    (Mohamed Khaider University of Biskra, Laboratory, Rights and Freedoms in Comparative Systems, Business Law Department, Faculty of Law and Political Science)

  • Laouar Badra

    (Mohamed Khaider University of Biskra, Laboratory, Rights and Freedoms in Comparative Systems, Faculty of Law and Political Science)

Abstract

This article provides a comprehensive analysis of the challenges facing traditional legal frameworks of intellectual property in light of the rapid development of generative artificial intelligence systems. It highlights the inadequacy of the concepts of originality and human authorship in accommodating the outputs of these systems and reviews recent judicial examples and administrative decisions that confirm the current laws were not designed to frame the creative works produced by machines. The research seeks to propose alternative regulatory mechanisms and legislative solutions to reshape the legal frameworks, including standards for ownership ratios based on the degree of human intervention, mandatory licences for training data, and conditional protection for human-supported outputs. The research ends by asking for a fair global law system that supports new ideas while also protecting rights, suggesting clear and straightforward rules to make sure generative artificial intelligence systems are managed ethically and transparently.

Suggested Citation

  • Hadjab Ali & Laouar Badra, 2026. "Ownership of AI-Generated Outputs and Their Implications for Traditional Intellectual Property Rules," Advances in Economics, Business and Management Research,, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_41
    DOI: 10.2991/978-94-6239-711-8_41
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