CSET submitted the following comment to the Department of Homeland Security regarding a fixed time period of admission for nonimmigrant students, exchange visitors and representatives of foreign information media.

Over the last decade, Moscow has boosted funding of universities and implemented reforms in order to make Russia a global leader in AI. As part of that effort, Russian researchers have expanded their English-language publication output, a key—if imperfect—measure of the country’s innovation and impact. Between 2010 and 2018, the number of English-language publications by Russian scientists in AI-related fields increased six-fold.

The resizing of images, which is typically a required part of preprocessing for computer vision systems, is vulnerable to attack. Images can be created such that the image is completely different at machine-vision scales than at other scales and the default settings for some common computer vision and machine learning systems are vulnerable.

Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players and organizations and recommending the creation of an open source S&T monitoring capability within the U.S. government.

Preserving pathways for high-skilled foreign talent critical to U.S. leadership in artificial intelligence.

How should the United States understand and respond to China’s technologically driven mass surveillance, internment and indoctrination in Xinjiang? Dahlia Peterson offers a set of policy recommendations in a coauthored report for the Brookings Institution.

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.

The current global pandemic has given China a chance to amplify its efforts to apply artificial intelligence across the public and private spheres. Chinese companies are developing and retooling AI systems for control and prevention. This data brief assesses the types of AI technologies used to fight COVID-19 and the key players involved in this industry.

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.

The world is watching how the Chinese military develops and deploys artificial intelligence—but how exactly will it apply AI? This policy brief analyzes Chinese experts’ arguments about AI and prospective warfighting capabilities, identifying prevailing concerns about strategic stability and unintended escalation.