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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The Impact of Using AI Technologies in Migration Management Policies and Control of Borders on Sustainable Development within the MENA Region

Authors
Salima Benhassine1, *
1Mohamed Khider University, Biskra, Algeria
*Corresponding author. Email: salima.benhassine@univ-biskra.dz
Corresponding Author
Salima Benhassine
Available Online 24 June 2026.
DOI
10.2991/978-94-6239-711-8_26How to use a DOI?
Keywords
AI Technologies; Migration Management Policies; Borders’ Control; Sustainable Development; MENA Region
Abstract

Artificial intelligence (AI) plays a crucial role in border control and protecting national security from all significant security threats. AI has been adopted in this field to detect migrant infiltration before they cross into other countries, analyze their data, and use proactive technological methods to predict their movements. Consequently, AI technologies have greatly contributed to mitigating the risks of migration in many countries in the MENA region. Especially since it causes strain on the economies and hinders their sustainable development efforts of these countries.

This research paper explores the impact of using AI tools in migration governance and border control policies on sustainable development in the Middle East and North Africa region. It highlights the applications of AI in migration management policies, which serve as an important source of information for government policymakers and all stakeholders in this field. This study aims to reveal the role of these government policies in promoting and supporting sustainable development in the region through their use of artificial intelligence tools in migration management and border control. Therefore, we conclude from this study that the use of artificial intelligence technologies in migration management is highly beneficial to sustainable development in the region; however, this benefit will not be widespread across the region without coordination, participation, and active involvement from the countries of the region in migration management.

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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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_26How 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  - Salima Benhassine
PY  - 2026
DA  - 2026/06/24
TI  - The Impact of Using AI Technologies in Migration Management Policies and Control of Borders on Sustainable Development within the MENA Region
BT  - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)
PB  - Atlantis Press
SP  - 279
EP  - 288
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-711-8_26
DO  - 10.2991/978-94-6239-711-8_26
ID  - Benhassine2026
ER  -