How AI is being used in war — and what’s next

2026-03-05 · Source: Machine learning : nature.com subject feeds · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Novice, quick

Summary

The escalating conflict involving the United States, Israel, and Iran has intensified scrutiny on the use of artificial intelligence in warfare, with AI-assisted missile guidance reported in the Middle East. The US military employs AI, including large language models (LLMs), for logistics, intelligence, and battlefield decision support, exemplified by the Maven Smart System which aids target prioritization. Despite claims that AI could reduce civilian casualties through precision targeting, ongoing conflicts in Ukraine and Gaza, where AI assists target identification and drone navigation, have seen high civilian death tolls, with no evidence suggesting AI lowers these numbers. Ethical concerns are highlighted by a dispute between the US Department of War and AI supplier Anthropic, which refused to remove safeguards preventing its Claude LLM from being used for mass surveillance or fully autonomous weapons, leading to the US government sidelining Anthropic and signing a deal with OpenAI.

Key takeaway

For CTOs evaluating AI procurement for defense applications, you must prioritize vendors who align with ethical guidelines and international humanitarian law. Ensure your contracts explicitly address limitations on AI use, particularly regarding fully autonomous weapons and mass surveillance, as demonstrated by the US Department of War's dispute with Anthropic. This proactive stance helps mitigate legal and reputational risks while navigating the rapid evolution of AI in military contexts.

Key insights

AI is increasingly integrated into modern warfare, raising significant ethical and regulatory challenges.

Principles

• Technological development outpaces international regulation.
• AI precision does not guarantee reduced civilian casualties.

In practice

• AI assists target identification and drone navigation.
• LLMs support military logistics and intelligence analysis.

Topics

• AI in Warfare
• Lethal Autonomous Weapons
• Military AI Applications
• Large Language Models
• AI Ethics and Regulation

Best for: CTO, AI Ethicist, Policy Maker, Research Scientist

Related on AIssential

• AI Warfare Is Outpacing Our Ability to Control It — AI in warfare outpaces governance, leading to civilian harm, automation bias, and ethical dilemmas.
• From Anthropic to Iran: Who sets the limits on AI’s use in war and surveillance? — AI ethics in national security are shaped by contracts and procurement, not just principles.
• Anthropic-Pentagon battle shows how big tech has reversed course on AI and war - The Guardian — Big tech's stance on military AI has shifted from resistance to integration, driven by profit and geopolitical concerns.
• Frequently asked questions: Artificial Intelligence (AI) in the military domain — AI in military applications risks escalating conflict and reducing human control, necessitating strict IHL adherence and regulation.
• The AI Ethics Brief #185: When AI Goes to War — AI is now infrastructure for conflict, eroding truth and challenging existing governance frameworks.
• AI Safety Meets the War Machine — AI safety principles are clashing with military operational demands, creating significant contractual disputes.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine learning : nature.com subject feeds.