Based on an in-depth analysis of artificial intelligence and machine learning systems, the authors consider the future of applying such systems to cyber attacks, and what strategies attackers are likely or less likely to use. As nuanced, complex, and overhyped as machine learning is, they argue, it remains too important to ignore.

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.

The United States has long used export controls to prevent the proliferation of advanced semiconductors and the inputs necessary to produce them. With Beijing building up its own chipmaking industry, the United States has begun tightening restrictions on exports of semiconductor manufacturing equipment to China. This brief provides an overview of U.S. semiconductor export control policies and analyzes the impacts of those policies on U.S.-China trade.

Technical leadership in the semiconductor industry has been a cornerstone of U.S. military and economic power for decades, but continued competitiveness is not guaranteed. This issue brief exploring the composition of the workforce bolstering U.S. leadership in the semiconductor industry concludes that immigration restrictions are directly at odds with U.S. efforts to secure its supply chains.

Axios Future highlighted a series of one-pagers issued by CSET providing AI policy recommendations for the next presidential administration to consider and implement. The full piece from Axios can be found below.

CSET research has consistently highlighted the importance of advanced chips to the development of AI. TechSpot's recent coverage of this work can be found below.

Protecting international security and human rights by using multilateral controls on semiconductor manufacturing equipment and advanced chips

CSET Founding Director Jason Matheny testified before the House Budget Committee for its hearing, "Machines, Artificial Intelligence, & the Workforce: Recovering and Readying Our Economy for the Future." Dr. Matheny's full testimony as prepared for delivery can be found below.

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.

Significant debate surrounds the gap between China’s technological ambitions and achievements, and the long-term prospects for its development of key technologies. On May 8, Brookings hosted a virtual event to explore these and other questions in tandem with CSET experts.