How can the U.S. government and its allies make effective use of artificial intelligence/machine learning (AI/ML) and other emerging technologies? Our research in this area examines AI-enabled emerging technologies relevant to national security, opportunities and challenges for adoption and application, and opportunities for alliances in the development and deployment of…

AI/ML systems are failure-prone, unreliable, and opaque. This research line seeks to understand and contribute to the development and adoption of AI standards, testing procedures, best practices, regulation, auditing, and certification. It identifies areas where U.S. policy could promote the responsible, safe, and reliable deployment of AI/ML capabilities. It encompasses…

We analyze trends to help government and society harness biotechnology’s potential to promote health and new industries, as well as understand the potential for its misuse. It includes examination of the biotechnology workforce, infrastructure and funding that supports biotechnology research. Research topics include biological safety infrastructure and regulations, global biosecurity…

What role do the state of technological innovation and competitiveness in the United States have in national power? We offer recommendations for research and development policy, science and technology strategy, and research security. We also weigh in on the use of investments and incentives to strengthen the innovation ecosystem; export…

CSET’s CyberAI Project focuses on the intersection of AI/ML and cybersecurity, including analysis of AI/ML’s potential uses in cyber operations, the potential failure modes of AI/ML applications for cyber, how AI/ML may amplify future disinformation campaigns, and geostrategic competition centered around cyber and AI/ML.

CSET’s unique data-driven approach is enabled by our data team. The team includes data scientists, data research analysts, software engineers, survey and translation specialists, and more. We maintain CSET’s vast data holdings, which include nearly 60 analysis-ready datasets, offering unprecedented coverage of the emerging technology ecosystem. The team develops and…

Countries such as China are using multiple means, including talent development and recruitment, investment and internal policies, to stimulate domestic research and development, promote scientific progress, and drive technological innovation. We document the role of legal, illegal, and extra-legal mechanisms used by such countries for these purposes. The research involves…

This line of our research works to understand technological ecosystems in key regions of the world through assessment of the state of academic and commercial research, the nature of research collaborations, patterns in patenting, investment flows, trade patterns, and flows of expert talent in these regions. We seek to identify…

This research documents the supply chains for national security relevant technologies such as cutting-edge semiconductors to understand how the United States can maintain secure access to these technologies, and identify policy options for this country and its allies to preserve a generational lead over peer competitors. It assesses the implications…

This research explores the global AI workforce and policies that affect it, including immigration, education pipelines and talent recruitment and retention—with particular emphasis on the national security workforce. We explore the supply and demand of the AI workforce in the United States and China, the state of AI education in…