The Emerging Technology Observatory’s AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents from the United States and around the world. Updated regularly, AGORA includes summaries, document text, thematic tags, and filters to help users quickly discover and analyze key developments in AI governance.

PARAT (Private-sector AI-Related Activity Tracker) is ETO's hub for data about private-sector companies and their AI activities. PARAT's easy-to-use interface brings together data on companies' AI research publications, patents, and hiring, enabling customizable, data-driven comparison and trend analysis. Use PARAT to explore how hundreds of leading companies around the world are engaged in AI, from Big Tech titans and leading generative AI startups to the entire S&P 500.

Scout is ETO's discovery tool for Chinese-language writing on science and technology. Scout compiles, tags, and summarizes news and commentary from selected Chinese sources, helping English-speaking users easily keep up to date, skim the latest news, and discover new perspectives. Use the Scout web interface to browse and filter articles, or get customized updates delivered to your inbox through the Scout email service.

ETO’s Open-source software Research and Community Activity (ORCA) tool compiles data on open-source software (OSS) used in science and technology research.

ETO’s Research Almanac provides high-level data on key trends in emerging technology research, including overall research output, growth, and trends among countries, research institutions, and companies active in R&D. This initial version of the Almanac focuses on topics and applications in artificial intelligence.

ETO's Supply Chain Explorer is designed to quickly orient non-experts to the essential inputs, players, and relationships involved in producing advanced computer chips. Use the Explorer to learn how these chips are made, who makes them, and the tools, materials, and processes involved in the supply chain.

CSET’s CAT presents data related to countries' artificial intelligence ecosystems to give an overview of domestic capabilities, as well as insights on competitiveness and collaboration globally. It presents metrics on AI research, patents, and investment-related activities for AI overall and its various subfields.

China’s State Key Laboratory system drives the country’s innovation in science and technology. A key part of China’s aim to reduce its dependence on foreign technology, these labs conduct cutting-edge basic and applied research, attract and train domestic and foreign talent, and conduct academic exchanges with foreign counterparts. These laboratories are spread across almost all Chinese provinces except Tibet, with the majority clustered in large coastal cities.

​​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.

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.