AI at War: The next revolution for military and defense

The rapid transformation of Artificial Intelligence (AI) from a disruptive civilian technology into a fundamental component of modern military capability signals a significant shift in warfare and defense. The multifaceted integration of AI across military domains is the subject of this comprehensive study, which examines its current applications, potential for the future, and intricate ethical and strategic ramifications. Autonomous Systems & Robotics (UAVs, UGVs, logistics), Enhanced Data Analysis & Predictive Modeling (intelligence fusion, threat anticipation), Cybersecurity & Network Defense (proactive threat detection, adaptive resilience), AI-augmented Command and Control (C2) (real-time SA, decision support), and Combat Operations Support (target identification, semi-autonomous systems) are some of the key areas we investigate, with a primary focus on the U.S. military but also taking into account AI's role as a force multiplier, enhancing lethality, efficiency, and force protection, is clearly demonstrated by the analysis. However, this revolution presents significant challenges: ethical dilemmas surrounding Lethal Autonomous Weapons Systems (LAWS), the imperative of human oversight (meaningful human control), vulnerabilities in AI systems (adversarial attacks, data poisoning), the risks of an accelerating AI arms race, and the need for robust international governance frameworks. This paper concludes that while AI offers unprecedented advantages in defense preparedness and operational effectiveness, responsible development, rigorous ethical guidelines, robust testing, and international dialogue are paramount to mitigate risks and ensure strategic stability in the emerging AI-augmented battlespace.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-07-24
DOI
https://doi.org/10.30574/wjarr.2025.27.1.2735
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

AI at War: The next revolution for military and defense

Ashikur Rahman Nazil
World Journal of Advanced Research and Reviews
Big Data and Business Intelligence
article

AI at War: The next revolution for military and defense

Ashikur Rahman Nazil
article en

Abstract

The rapid transformation of Artificial Intelligence (AI) from a disruptive civilian technology into a fundamental component of modern military capability signals a significant shift in warfare and defense. The multifaceted integration of AI across military domains is the subject of this comprehensive study, which examines its current applications, potential for the future, and intricate ethical and strategic ramifications. Autonomous Systems & Robotics (UAVs, UGVs, logistics), Enhanced Data Analysis & Predictive Modeling (intelligence fusion, threat anticipation), Cybersecurity & Network Defense (proactive threat detection, adaptive resilience), AI-augmented Command and Control (C2) (real-time SA, decision support), and Combat Operations Support (target identification, semi-autonomous systems) are some of the key areas we investigate, with a primary focus on the U.S. military but also taking into account AI's role as a force multiplier, enhancing lethality, efficiency, and force protection, is clearly demonstrated by the analysis. However, this revolution presents significant challenges: ethical dilemmas surrounding Lethal Autonomous Weapons Systems (LAWS), the imperative of human oversight (meaningful human control), vulnerabilities in AI systems (adversarial attacks, data poisoning), the risks of an accelerating AI arms race, and the need for robust international governance frameworks. This paper concludes that while AI offers unprecedented advantages in defense preparedness and operational effectiveness, responsible development, rigorous ethical guidelines, robust testing, and international dialogue are paramount to mitigate risks and ensure strategic stability in the emerging AI-augmented battlespace.

World Journal of Advanced Research and ReviewsVol. 27(1)
Openalex Percentile: Top 69%
Big Data and Business Intelligence
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