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AI And Military Surveillance: Balancing National Security With Civil Liberty




Sri Subiksha D., B.A.LL.B. (Hons.), Sastra Deemed To Be University

Arunothaya Arasi M.P., B.B.A.LL.B. (Hons.), Sastra Deemed To Be University


ABSTRACT


Artificial Intelligence (AI) is one of the major parts of military surveillance across the world in this Twenty-first century. It helps the armies to use drones, facial recognition and spyware to track enemies, monitor borders, detect threats and make quick operational decisions. AI is also used to analyze satellite imagery and even predict patterns of insurgent, terrorist activity or hostile activities. Some systems can even coordinate multiple surveillance devices simultaneously, providing commanders with detailed situational awareness. This system operates 24/7 and processes massive amounts of data quickly and assists in decision making faster than human analysts. Though it gives speed and accuracy, it may cause mistakes sometimes. AI systems are also vulnerable to hacking, which results in stolen Intelligence, manipulated operations or unintended escalation of conflicts. For example in Libya “The Turkey's Kargu-2” drone attacked a person without human control and in India Pegasus spyware, a scandal revealed illegal surveillance of Journalists and activists. AI misuse in countries like Israel and the United States also led to civilian harm which breaches of privacy and serious civil liberties.


Keywords: Artificial Intelligence, Military Surveillance, Civil liberties, AI misuse, Peacekeeping




Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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