Artificial intelligence-enabled systems are transforming society and driving an intense focus on what policy and technical communities can do to ensure that those systems are trustworthy and used responsibly. This analysis draws on prior work about the use of trustworthy AI terms to identify 18 clusters of research papers that contribute to the development of trustworthy AI. In identifying these clusters, the analysis also reveals that some concepts, like "explainability," are forming distinct research areas, whereas other concepts, like "reliability," appear to be accepted as metrics and broadly applied.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This short series explores how government procurement data can shed light on federal technological interest and utilization. It analyzes contract metadata, provided in a collaborative project with Govini, to track key emerging technologies through the federal procurement process.

The choice of method for surfacing AI-relevant publications impacts the ultimate research findings. This report provides a quantitative analysis of various methods available to researchers for identifying AI-relevant research within CSET’s merged corpus, and showcases the research implications of each method.

An expert assessment of Chinese scientific literature validates China's public claim to be working toward artificial general intelligence (AGI). At a time when other nations are contemplating safeguards on AI research, China’s push toward AGI challenges emerging global norms, underscoring the need for a serious open-source monitoring program to serve as a foundation for outreach and mitigation.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This short series explores how government procurement data can shed light on federal technological interest and utilization. It analyzes contract metadata, provided in a collaborative project with Govini, to track key emerging technologies through the federal procurement process.

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.

In late 2020, China established the Beijing Institute for General Artificial Intelligence, a state-backed institution dedicated to building software that emulates or surpasses human cognition in many or all of its aspects. Open source materials now available provide insight into BIGAI’s goals, scope, organization, methodology, and staffing. The project formalizes a trend evident in Chinese AI development toward broadly capable (general) AI.

CSET Director of Biotechnology Programs Anna Puglisi testified before the U.S.-China Economic and Security Review Commission at a hearing on "China’s Challenges and Capabilities in Educating and Training the Next Generation Workforce."

China’s government has pushed the country’s technology and financial firms to expand abroad, and Southeast Asia’s growing economies — and AI companies — offer promising opportunities. This report examines the scope and nature of Chinese investment in the region. It finds that China currently plays a limited role in Southeast Asia’s emerging AI markets outside of Singapore and that Chinese investment activity still trails behind that of the United States. Nevertheless, Chinese tech companies, with support from the Chinese government, have established a broad range of other AI-related linkages with public and commercial actors across Southeast Asia.

U.S. policymakers are increasingly concerned about the national security implications of U.S. investments in China, and some are considering a new regime for reviewing outbound investment security. The authors identify the main U.S. investors active in the Chinese artificial intelligence market and the set of AI companies in China that have benefitted from U.S. capital. They also recommend next steps for U.S. policymakers to better address the concerns over capital flowing into the Chinese AI ecosystem.