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.

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.

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.

CSET Non-Resident Senior Fellow Kevin Wolf testified before the Senate Banking Committee on U.S. export control policy and opportunities.

CSET Non-Resident Senior Fellow Kevin Wolf testified before the House Foreign Affairs Oversight and Accountability Subcommittee regarding U.S. export control policy and his recommendations going forward.

CSET Non-Resident Senior Fellow Kevin Wolf testified before the United Kingdom Parliament on export controls and Russia.

U.S. federal policymakers have recently gained the authority to block government agencies and private organizations from using foreign technologies that pose national security risks. But securing U.S. networks will require them to wield those powers effectively and better coordinate supply chain security efforts across all levels of government. The authors provide an overview of federal- and state-level procurement bans and recommend ways to build stronger defense against foreign technology threats.