See our translation of The Director of the PRC Overseas Chinese Affairs Office's report to the Chinese parliament in April 2018 regarding his office’s performance.

How should democracies effectively compete against authoritarian regimes in the AI space? This report offers a “terrain strategy” for the United States to leverage the malleability of artificial intelligence to offset authoritarians' structural advantages in engineering and deploying AI.

The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.

See our translation of a white paper by a PRC information security standardization group describes the current state of AI security and safety standards in China. Appendices list all of China’s AI security standards as of October 2019, and provide examples of AI security innovations pioneered by Chinese tech companies and IBM.

See our translation of a government-issued white paper describing China’s approach to standards setting for AI. Appendices list all of China’s existing AI standards as of January 2018, as well as those under study, and provide examples of AI applications by leading Chinese tech companies.

See our translation of an agreement between Chinese students who study abroad and the PRC Ministry of Education’s China Scholarship Council. It requires students on CSC scholarships to report regularly on the progress of their studies and mandates that those who study abroad return to China for at least two years.

With the increasing importance of artificial intelligence and the competition for AI talent, it is essential to understand the U.S. domestic industrial AI landscape. This data brief maps where AI talent is produced, where it concentrates, and where AI equity funding goes. This mapping reveals distinct AI hubs emerging across the country, with different growth rates, investment levels, and potential access to talent.

Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability. 

While AI innovation would presumably continue in some form without Big Tech, the authors find that breaking up the largest technology companies could fundamentally change the broader AI innovation ecosystem, likely affecting the development of AI applications for national security.

See our translation of the 2019 application process for graduate students at Zhejiang University who wished to participate in a major Chinese government-funded study abroad program.