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

Hadjab Ali () and Laouar Badra ()
Additional contact information
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

A chapter in Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), 2026, pp 434-442 from Springer

Abstract: 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.

Keywords: generative artificial intelligence; intellectual property; copyright; patents; human intervention; legislative framework; AI regulation (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-711-8_41

Ordering information: This item can be ordered from
http://www.springer.com/9789462397118

DOI: 10.2991/978-94-6239-711-8_41

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().