Scholarlink

<p>Artificial intelligence (AI) technologies are reshaping national security and the future landscape of warfare. Alongside this transformation, academic discourse on military AI has gained significant traction in recent years. In response to the rapidly expanding yet fragmented scholarly discourse on military AI, this paper employs BERTopic modeling, an advanced natural language processing technique, to conduct a systematic review of military AI literature spanning over a decade (2014–2025). Based on 505 papers screened from the Web of Science (WOS) and moving back and forth between the literature and the topic modeling results, we identified 12 topics and summarized them into three spectra and six <i>sub-themes</i>: governance: <i>national strategy</i>, <i>rules and ethics</i>; application: <i>regional security and conflicts</i>, <i>social and cultural influences</i>; <i>and</i> technology: <i>tactics</i>, <i>logistics.</i> Our study generates a novel knowledge map of military AI research that provides scholars with a systematic understanding of the field’s intellectual structure and evolution and offers policymakers valuable empirical insights into emerging military AI technological trends and critical governance challenges.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Governing Military Artificial Intelligence Technologies: Manufacturing War or Peace with Artificial Intelligence

  • 期刊论文

  • 发表日期：

    2026年2月28日

查看全文
  • Jianxiang Tan,
  • Yanto Chandra

摘要

Artificial intelligence (AI) technologies are reshaping national security and the future landscape of warfare. Alongside this transformation, academic discourse on military AI has gained significant traction in recent years. In response to the rapidly expanding yet fragmented scholarly discourse on military AI, this paper employs BERTopic modeling, an advanced natural language processing technique, to conduct a systematic review of military AI literature spanning over a decade (2014–2025). Based on 505 papers screened from the Web of Science (WOS) and moving back and forth between the literature and the topic modeling results, we identified 12 topics and summarized them into three spectra and six sub-themes: governance: national strategy, rules and ethics; application: regional security and conflicts, social and cultural influences; and technology: tactics, logistics. Our study generates a novel knowledge map of military AI research that provides scholars with a systematic understanding of the field’s intellectual structure and evolution and offers policymakers valuable empirical insights into emerging military AI technological trends and critical governance challenges.