See our original translation of a PRC document that details China’s plans to develop domestic standards for the smart manufacturing industry.

This document is an English-language translation of the table of contents of an extremely lengthy compendium of PRC national, provincial, and city-level laws, regulations, and policies related to the “conversion of S&T achievements into practical applications.”

See our original translation of a PRC law, amended in December 2021, that regulates how Chinese technology-related industrial policies operate and how state guidance funds for S&T are run, stipulates punishments for those who embezzle S&T funds, and so on.

CSET Research Analyst Dakota Cary testified before the U.S.-China Economic and Security Review Commission hearing on "China’s Cyber Capabilities: Warfare, Espionage, and Implications for the United States." Cary discussed the cooperative relationship between Chinese universities and China’s military and intelligence services to develop talent with the capabilities to perform state-sponsored cyberespionage operations.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the first 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.

See our original translation of China's 14th Five-Year Plan for the Development of the Big Data Industry, covering the period through 2025.

CHIPS for America Act funding will result in the construction of new semiconductor fabrication facilities (“fabs”) in the United States, employing tens of thousands of workers. This policy brief assesses the occupations and backgrounds that will be most in-demand among new fabs, as well as options for ensuring availability of the necessary talent. Findings suggest the need for new immigration pathways for experienced foreign fab workers, and investments in workforce development.

Problems of AI safety are the subject of increasing interest for engineers and policymakers alike. This brief uses the CSET Map of Science to investigate how research into three areas of AI safety — robustness, interpretability and reward learning — is progressing. It identifies eight research clusters that contain a significant amount of research relating to these three areas and describes trends and key papers for each of them.

​​This Classifying AI Systems Interactive presents several AI system classification frameworks developed to distill AI systems into concise, comparable and policy-relevant dimensions. It provides key takeaways and framework-specific results from CSET’s analysis of more than 1,800 system classifications done by survey respondents using the frameworks. You can explore the frameworks and example AI systems used in the survey, and even take the survey.

See our original translation of a an article summarizing China's 2022 Nationwide S&T Work Conference, which reviewed China's progress toward its technological goals during 2021 and set new priorities for 2022.