Reports

CSET produces evidence-driven analysis in a variety of forms, from informative graphics and translations to expert testimony and published reports. Our key areas of inquiry are the foundations of artificial intelligence — such as talent, data and computational power — as well as how AI can be used in cybersecurity and other national security settings. We also do research on the policy tools that can be used to shape AI’s development and use, and on biotechnology.

Report

China’s Military AI Wish List

Emelia Probasco, Sam Bresnick, and Cole McFaul
| February 2026

This report examines thousands of Chinese-language open-source requests for proposal (RFPs) published by the People’s Liberation Army between January 1, 2023, and December 31, 2024. The RFPs the authors reviewed offer insights into the PLA’s priorities and ambitions for AI-enabled military technologies associated with C5ISRT: command, control, communications, computers, cyber, intelligence, surveillance, reconnaissance, and targeting.

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Date (Newest) Date (Oldest)
Reports

U.S. Military Investments in Autonomy and AI: Executive Summary

Margarita Konaev
| October 2020

Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments in autonomy and AI, including our assessment of DOD’s research priorities, trends and gaps, as well as ways to ensure U.S. military leadership in AI in the short and the long term.

Reports

Open-Source Intelligence for S&T Analysis

Tarun Chhabra, William Hannas, Dewey Murdick, and Anna Puglisi
| September 2020

Establishing a new open-source National Science and Technology Analysis Center

Reports

Messier than Oil: Assessing Data Advantage in Military AI

Husanjot Chahal, Ryan Fedasiuk, and Carrick Flynn
| July 2020

Both China and the United States seek to develop military applications enabled by artificial intelligence. This issue brief reviews the obstacles to assessing data competitiveness and provides metrics for measuring data advantage.