Autonomous Weapons and Algorithmic Warfare: Transforming National Security Paradigms in the 21st Century

Abstract

This paper explores how Autonomous Weapons Systems (AWS) and Algorithmic Warfare are changing traditional ideas of national security. Traditional security thinking has mainly focused on human decision-making, state actions for which responsibility can be clearly established, and escalation processes that develop relatively slowly. However, the increasing use of artificial intelligence in military operations is challenging these traditional assumptions. The study uses a qualitative, document-based research approach and examines official defence policies, United Nations records, recent peer-reviewed academic studies, and investigative reports. Study focuses on five contemporary cases: i) the Russia-Ukraine war, ii) Israel’s use of AI-assisted targeting in Gaza, iii) the United States’ Replicator-to-Defense autonomous Warfare Group (DAWG) programme, iv) China’s doctrine of “intelligentized warfare,” and v) the India-Pakistan crisis of May 2025, known as “Operation Sindoor.” The research study also presents a five-level classification of algorithmic threats, ranging from systems that support human decisions under human supervision to fully autonomous swarming and cognitive warfare. In addition, it compares how the United States, the European Union, the United Nations, and China are responding to the challenges of governing military AI. The findings suggest that algorithmic warfare can shorten decision-making time, make it more difficult to distinguish between offensive and defensive actions, weaken legal accountability, and increase security tensions between nuclear-armed rivals such as India and Pakistan. The paper concludes by recommending stronger national and regional frameworks for governing military AI. It particularly emphasizes the need for South Asian countries to develop a clear doctrine and establish confidence-building measures to prevent the rapid escalation of algorithmic warfare from moving beyond political control.

Keywords: Autonomous weapons, algorithmic warfare, artificial intelligence, national security, lethal autonomous weapons systems, strategic stability, South Asia.