Artificial Intelligence and National Security: Can Algorithms Replace Strategic Judgment? | Opinion Column

Despite the processing speed of AI systems, they lack the contextual understanding and moral responsibility required in a national strategy.

 Unique contribution: Introducing a hybrid model that balances algorithmic speed and political accountability.

This article examines the integration of artificial intelligence systems into decision-making processes at the national strategic level. It analyzes the benefits inherent in early threat identification and optimization of spatial defense plans. At the same time, the study identifies the dangers inherent in over-reliance on automation in military and political extreme situations. Finally, a regulatory and ethical framework is proposed that redefines the boundaries between man and machine. The overarching goal is to ensure that technology serves security without taking control away from decision-makers.

The integration of artificial intelligence into national security systems is creating a real revolution, but also unprecedented challenges that directly relate to the question of the ability of algorithms to replace humans. Machine learning algorithms are capable of scanning countless open and confidential sources of information, identifying hidden patterns and warning of dangers, faster than any human analyst. However, as the research argues, the distance between technical data processing and a deep understanding of the enemy's intentions is still great, since real strategy relies on political intelligence, diplomatic sensitivity and the ability to contain uncertainty. Automated systems provide a vital picture of the situation, but they are unable to bear the moral and public responsibility derived from fateful decisions. Therefore, the answer to the research question is clear: despite their technological power, algorithms cannot replace strategic judgment, and maintaining continuous human involvement is a necessary condition for preventing disasters.

Practical example: In analyzing conflict scenarios on the border, an AI system can predict force movements with great accuracy, but the decision as to whether and when launching a preventive operation serves the broader national interest remains exclusively in the hands of the political echelon.