In their op-ed for Scientific American, Husanjot Chahal and Helen Toner argue how small data can assist AI breakthroughs.

AI technologies will likely alter great power competitions in foundational ways, changing both how nations create power and their motives for wielding it against one another. This paper is a first step toward thinking more expansively about AI & national power and seeking pragmatic insights for long-term U.S. competition with authoritarian governments.

Sara Abdulla was a Data Research Analyst at CSET.

CSET Founding Director Jason Matheny presented the keynote address at the virtual colloquium on the future of data science and the implications for privacy and national security hosted by the National Academies of Sciences, Engineering, and Medicine.

Plus: CA firefighters use AI, Rep. McCaul introduces export control bill and State Department issues guidance on surveillance technology

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.

Autumn Toney is a Senior Data Research Analyst. Previously, she worked at the Naval Research Laboratory in computer security

Jacob Feldgoise is a Data Research Analyst focused on U.S.-China technology competition, China’s foreign influence, and emerging technologies talent flows.