Benefits and challenges of military artificial intelligence in the field of defense

Authors

  • Jairo Eduardo Márquez Díaz Universidad de Cundinamarca

DOI:

https://doi.org/10.13053/cys-28-2-4684

Keywords:

Artificial intelligence, Algorithms, Military, Neural networks, Technology

Abstract

The article explores the increasing integration of AI in the military arena. It highlights its potential to improve efficiency and accuracy in field operations, predictive analytics, and logistics due to its ability to process large volumes and learn autonomously. The study also emphasizes the role of AI in analyzing data from various sources, such as satellite images, intelligence information, and social media, which aids in target identification and autonomous vehicle operation. However, it also addresses important ethical and legal challenges, including transparency in decision-making and liability for errors or collateral damage. It raises concerns about the vulnerability of military systems to attack, their tampering, and the potential for accidental damage. The research employs a qualitative review of the existing literature on AI types and applications in the military context, focusing on benefits and risks. The study aims to synthesize key issues related to military AI capabilities, oversight, and governance, providing guidance and precautions for responsible AI development in defense.

Author Biography

Jairo Eduardo Márquez Díaz, Universidad de Cundinamarca

Facultad de ingenieria. Docente investigador

Downloads

Published

2024-06-12

Issue

Vol. 28 No. 2 (2024): 28(2) 2024

Section

Articles

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.