JOURNAL ARTICLE

The Militarisation of Outer Space: A Critical Examination of Preventing an Arms Race and Ensuring Peaceful Exploration From an International and Islamic Law Perspective.

  • Published In: Manchester Journal of Transnational Islamic Law & Practice, 2025, v. 21, n. 2. P. 350 1 of 3

  • Database: Legal Source 2 of 3

  • Authored By: Ahmad, Nehaluddin; Zamri, Zheimie H.; Azreem, Nur Syahmina 3 of 3

Abstract

Islam encourages the pursuit of knowledge and exploration, including outer space, as a means of appreciating Allah's creation and advancing human progress. However, as space technology rapidly evolves, the increasing militarisation of outer space, through intelligence systems, satellite warfare, and anti-satellite weaponry, poses a growing threat to global security. This article critically examines the international legal framework for preventing an arms race in space, with a focus on key treaties, including the Outer Space Treaty. It explores significant challenges, including geopolitical rivalries and enforcement gaps, while proposing solutions to strengthen space security. From an Islamic perspective, principles such as salam (peace), 'adl wa al-ihsan (justice and benevolence), and amanah (trust) reinforce global efforts for peaceful space governance. By integrating legal and ethical considerations, this article advocates for stronger international collaboration and the incorporation of Islamic values to prevent conflicts and ensure space remains a shared domain for humanity's peaceful and sustainable advancement. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Manchester Journal of Transnational Islamic Law & Practice. 2025/04, Vol. 21, Issue 2, p350
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:17423945
  • Accession Number:188585752
  • Copyright Statement:Copyright of Manchester Journal of Transnational Islamic Law & Practice is the property of ElectronicPublications.org Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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