Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

CSET Research Analyst Dahlia Peterson testified before the U.S.-China Economic and Security Review Commission at a hearing on "China’s Challenges and Capabilities in Educating and Training the Next Generation Workforce."

U.S. policies on artificial intelligence education and the AI workforce must grow, cultivate, attract, and retain the world’s best and brightest. Given China’s role as a producer of AI talent, understanding its AI workforce could provide important insight. This report provides an analysis of the AI workforce demand in China using a novel dataset of 6.8 million job postings. It then outlines potential implications along with future reports in this series.

Policymakers, engineers, program managers and operators need the bedrock of a common set of terms to instantiate responsible AI for the Department of Defense. Rather than create a DOD-specific set of terms, this paper argues that the DOD could benefit by adopting the key characteristics defined by the National Institute of Standards and Technology in its draft AI Risk Management Framework with only two exceptions.

Universities are the engines that power the AI talent pipeline, but mounting evidence suggests that U.S. computer science departments do not have enough faculty to meet growing student interest. This paper explores the potential mismatch between supply and demand in AI education, discusses possible causes and consequences, and offers recommendations for increasing teaching capacity at U.S. universities.

Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the associated number of graduates. The authors find that few AI and AI-related degrees and certificates are being awarded today. They propose five recommendations to address existing challenges and harness the potential of these institutions to train tomorrow’s AI workforce.

This issue brief uses data from the National Science Foundation’s Survey of Doctorate Recipients to explore how many of the international students who earn STEM PhDs from U.S. universities stay in the country after graduation. The authors trace the journeys that these graduates take through the immigration system and find that most remain in the United States long after earning their degrees.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the third in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

CSET submitted this comment to the Office of Science and Technology Policy on updating the National Artificial Intelligence Research and Development Strategic Plan.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the second in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.