In an op-ed for TechCrunch, CSET Research Analyst Dakota Cary examines China's evolution of state-sponsored hackers for cyber espionage.

CSET research shows India is building economic value from basic AI research, but a lack of PhD talent places it behind the United States and China in the development of high-end AI research according to Research Analyst Husanjot Chahal.

Skills and diversity are needed for a strong AI workforce according to CSET's Diana Gehlhaus during Government CIO's National Security virtual event.

CSET reports "Assessing the Scope of U.S. Visa Restrictions on Chinese Students" and "Universities and the Chinese Defense Technology Workforce" offer their analysis on how U.S. visa restrictions are affecting Chinese STEM students.

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.

In an opinion piece for The Hill, Research Fellow Diana Gehlhaus calls for a clear U.S. AI workforce policy if the U.S. wants to be the leader in AI talent drawing from her latest report.

In her latest CSET report, Research Fellow Diana Gehlhaus discusses the United States' lack of a defined AI education and AI workforce policy, and offers policy recommendations.

According to The Hill, China is outpacing the U.S.' development of frontier technologies in part due to China's asymmetric STEM talent. According to a CSET brief, China produces twice as many STEM PhDs annually compared to the U.S.

Research Analyst Emily Weinstein spoke with University World News about continued collaboration between Chinese and American university researchers amidst tensions from the China Initiative.

CSET submitted this comment to the Office of Science and Technology Policy and the National Science Foundation to support the work of the National Artificial Intelligence Research Resource (NAIRR) Task Force to develop an implementation roadmap that would provide AI researchers and students across scientific disciplines access to computational resources, high-quality data, educational tools, and user support.