This is a Russian translation of the May 2021 CSET Issue Brief “China’s Foreign Technology Wish List.”

Read our original translation of an article that describes China’s “National Security Academic Fund,” which supports the China Academy of Engineering Physics (CAEP), China’s nuclear weapons research, development, and testing laboratory.

Artificial intelligence systems are rapidly being deployed in all sectors of the economy, yet significant research has demonstrated that these systems can be vulnerable to a wide array of attacks. How different are these problems from more common cybersecurity vulnerabilities? What legal ambiguities do they create, and how can organizations ameliorate them? This report, produced in collaboration with the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Policy Center, presents the recommendations of a July 2022 workshop of experts to help answer these questions.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Read our original translation of China’s short- to mid-term strategy for expanding domestic demand in its economy.

See our original translation of South Korea’s industrial technology protection law, as amended in January 2023. The law aims to prevent technologies vital to South Korean national security or economic competitiveness from being divulged to or shared with foreign countries or corporations without the government’s knowledge.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Militaries seek to harness artificial intelligence for decision advantage. Yet AI systems introduce a new source of uncertainty in the likelihood of technical failures. Such failures could interact with strategic and human factors in ways that lead to miscalculation and escalation in a crisis or conflict. Harnessing AI effectively requires managing these risk trade-offs by reducing the likelihood, and containing the consequences of, AI failures.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research of interest within CSET’s merged corpus of scholarly literature and Map of Science.

Read our original translation of a draft Chinese national standard for the security of machine learning (ML) algorithms. Drafted by Chinese government entities and tech companies, the standard provides security guidelines for developers of ML models and procedures for assessing ML algorithms’ susceptibility to cyberattacks.