Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

📍Biskra, Algeria🗓️ 13-14 April 2026
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Ownership of AI-Generated Outputs and Their Implications for Traditional Intellectual Property Rules

Authors
Hadjab Ali1, *, Laouar Badra2
1Mohamed Khaider University of Biskra, Laboratory, Rights and Freedoms in Comparative Systems, Business Law Department, Faculty of Law and Political Science, Biskra, Algeria
2Mohamed Khaider University of Biskra, Laboratory, Rights and Freedoms in Comparative Systems, Faculty of Law and Political Science, Biskra, Algeria
*Corresponding author. Email: ali.hadjab@univ-biskra.dz
Corresponding Author
Hadjab Ali
Available Online 24 June 2026.
DOI
10.2991/978-94-6239-711-8_41How to use a DOI?
Keywords
generative artificial intelligence; intellectual property; copyright; patents; human intervention; legislative framework; AI regulation
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.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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<Previous Article In Volume
Volume Title
Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
24 June 2026
ISBN
978-94-6239-711-8
ISSN
2352-5428
DOI
10.2991/978-94-6239-711-8_41How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hadjab Ali
AU  - Laouar Badra
PY  - 2026
DA  - 2026/06/24
TI  - Ownership of AI-Generated Outputs and Their Implications for Traditional Intellectual Property Rules
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 434
EP  - 442
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_41
DO  - 10.2991/978-94-6239-711-8_41
ID  - Ali2026
ER  -