Our rapidly changing world has profound implications for the future of warfare. Advancements in military technologies—in particular artificial intelligence (AI) and autonomy—are shaping the character of war and fundamentally changing how war may be fought in the future. The widespread adoption of military AI creates potential risks but also opportunity if the U.S. military can effectively harness it to gain critical advantages over adversaries. To explore this issue, the CNAS Defense Program is pursuing multiple lines of effort:
AI at the Warfighting Edge
From Ukraine to the Red Sea, AI is being employed and refined on the battlefield, representing an evolution of what is fast becoming an essential military technology and signaling a shift towards greater autonomy, speed, and effectiveness in modern warfare. This project explores how the U.S. military has leveraged AI to date across theaters and how it may employ AI and autonomous systems in future conflict.
Future Drone Wars
Recent conflicts, such as Nagorno-Karabakh, Libya, and Ukraine, have demonstrated how drones are shifting the way war is fought. This project examines global proliferation of military drones, their employment in modern conflicts, and new operational concepts leveraging drones that require differing levels of autonomy.
AI Assurance
AI presents new opportunities and offers strategic and tactical advantages across a range of domains and applications, from intelligence and business systems to maneuver and fires. This line of effort explores the procedural, institutional, and operational changes needed within the Department of Defense to safely and effectively leverage this technology across domains and applications.
AI Interoperability with Allies and Partners
A hallmark of the American way of war is fighting in coalitions alongside allies and partners. As the United States and its allies develop distinct AI and autonomous systems, new interoperability challenges will emerge and may hinder coalition operations. This project will explore the technical and policy issues that hinder building military AI interoperability.
Research Team:
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Stacie Pettyjohn
Senior Fellow and Director, Defense Program
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Becca Wasser
Senior Fellow and Deputy Director, Defense Program
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Josh Wallin
Fellow, Defense Program
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Molly Campbell
Research Assistant, Defense Program
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Anna Avanesyan
Research Assistant, Defense Program
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Jakob Barlow
Research Assistant, Defense Program
Highlights
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Bad Blood: The TTX for the House Select Committee on Strategic Competition Between the United States and the Chinese Communist Party (CCP)
I. Introduction Chairman Gallagher, Ranking Member Krishnamoorthi, distinguished members of the committee and staff, thank you for inviting me to come today to talk about the ...
By Stacie Pettyjohn, Becca Wasser & Andrew Metrick
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Swarms over the Strait
The United States is betting that it can out-innovate China and use drones to defeat a People’s Liberation Army (PLA) invasion of Taiwan. Here, the United States should view U...
By Stacie Pettyjohn, Hannah Dennis & Molly Campbell
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Drone Proliferation Dataset
The Center for a New American Security (CNAS) Drone Proliferation Dataset tracks global transfers of military-grade aerial drones, regardless of size and capability, between 1...
By Molly Campbell