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.
Diana Gehlhaus, Ron Hodge, Luke Koslosky, Kayla Goode, and Jonathan Rotner
| September 2021
This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and retain artificial intelligence talent. The authors find that the DOD already has a cadre of AI and related experts, but that this talent remains hidden. Better leveraging this talent could go a long way in meeting the DOD’s AI objectives. The authors argue that this can be done through policies that more effectively identify AI talent and assignment opportunities, processes that incentivize experimentation and changes in career paths, and investing in the necessary technological infrastructure.
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.
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.
CSET's Director of Strategy Helen Toner sat down with National Defense to discuss AI failures from her and Zachary Arnold's CSET report "AI Accidents: An Emerging Threat."
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.
Looking at AI in the automotive industry, a CSET report "AI Accidents: An Emerging Threat" identifies AI failures and calls for a greater emphasis on research and development to improve safety.
Margarita Konaev, Andrew Imbrie, Ryan Fedasiuk, Emily S. Weinstein, Katerina Sedova, and James Dunham
| August 2021
Chinese and Russian government officials are keen to publicize their countries’ strategic partnership in emerging technologies, particularly artificial intelligence. This report evaluates the scope of cooperation between China and Russia as well as relative trends over time in two key metrics of AI development: research publications and investment. The findings expose gaps between aspirations and reality, bringing greater accuracy and nuance to current assessments of Sino-Russian tech cooperation.
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