One sentence summarizes the complexities of modern artificial intelligence: Machine learning systems use computing power to execute algorithms that learn from data. This AI triad of computing power, algorithms, and data offers a framework for decision-making in national security policy.

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.

Jacob Feldgoise is a Senior Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET).

Rebecca Gelles is an ML Engineer at Georgetown's Center for Security and Emerging Technology (CSET)

Zachary Arnold was the Project Lead for CSET’s Emerging Technology Observatory.

Plus a New Report on Semiconductors, China Legislates Deepfakes, and Schmidt and Work Pen an Op-Ed