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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

The Role of Artificial Intelligence in Combating Domestic Terrorism in the United States

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Aisha M. Suleiman *

University of Iowa, IA, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 27(03), 1652-1663

Article DOI: 10.30574/wjarr.2025.27.3.3083

DOI url: https://doi.org/10.30574/wjarr.2025.27.3.3083

Received on 19 July 2025; revised on 19 September 2025; accepted on 22 September 2025

Domestic terrorism in the United States (US) is becoming increasingly sophisticated. As a result, artificial intelligence (AI) has emerged as a central tool in national security strategy. This paper explores the integration of AI into counterterrorism. It focuses on predictive policing, online threat detection, surveillance systems, and intelligence analysis. 

This comparative study gives a complex overview of the role of AI in the fight against domestic terrorism and how it is used in predictive policing, threat detection, security cameras and systems, as well as data gathering in intelligence. 

Furthermore, this paper reviews existing AI technologies alongside ethical principles and legal frameworks to examine how national security requirements can be balanced with constitutional protections of individual rights.The analysis has shown that although AI has great potential in terms of prevention and response to threats, its implementation into practical operations must take into account the rights to privacy, bias in algorithms, and the accountability of machine-based decisions to foster both their efficiency and democratic validity.

Artificial Intelligence; Domestic Terrorism; National Security; Predictive Policing; Surveillance; Cybersecurity

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-3083.pdf

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Aisha M. Suleiman. The Role of Artificial Intelligence in Combating Domestic Terrorism in the United States. World Journal of Advanced Research and Reviews, 2025, 27(03), 1652-1663. Article DOI: https://doi.org/10.30574/wjarr.2025.27.3.3083.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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