Research Analyst Emily Weinstein spoke with the National Journal about university research and the growing tensions with U.S.-China research collaborations.
A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts to integrate AI education in China and the United States, and what advantages and disadvantages this entails. The authors consider key differences in system design and oversight, as well as strategic planning. They then explore implications for the U.S. national security community.
A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief provides an overview of the education systems in China and the United States, lending context to better understand the accompanying main report, “AI Education in China and the United States: A Comparative Assessment.”
The transfer of national security relevant technology—to peer competitors especially—is a well-documented problem and must be balanced with the benefits of free exchange. The following propositions covering six facets of the transfer issue reflect CSET’s current recommendations on the matter.
A new CSET report "Headline or Trend Line? Evaluating Chinese-Russian Collaboration in AI" uses data-backed analysis to address the Sino-Russian partnership and its effect on U.S. strategic interests.
CSET Research Analyst Dakota Cary discusses China's new Data Security Law and the effects of its cyber vulnerability disclosure provisions to hack other countries.
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