Max Langenkamp was a Semester Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). He is currently studying computer science at the Massachusetts Institute of Technology. Previously, Max was a policy intern at the Office of Science and Technology Policy in the Executive Office of the President, where he focused on 5G innovation and AI governance. He has also worked at machine learning hardware startup Cerebras, and was a visiting researcher at the University of Sannio, where he presented his research on using satellite images to categorize landslides to members of the European Space Agency. Max is continuing research at the MIT Computational Cognitive Science Group, where he uses reinforcement learning to model human decision making.
Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.
AI HubsApril 2021
U.S. policymakers need to understand the landscape of artificial intelligence talent and investment as AI becomes increasingly important to national and economic security. This knowledge is critical as leaders develop new alliances and work to curb China’s growing influence. As an initial effort, an earlier CSET report, “AI Hubs in the United States,” examined the domestic AI ecosystem by mapping where U.S. AI talent is produced, where it is concentrated, and where AI private equity funding goes. Given the global nature of the AI ecosystem and the importance of international talent flows, this paper looks for the centers of AI talent and investment in regions and countries that are key U.S. partners: Europe and the CANZUK countries (Canada, Australia, New Zealand, and the United Kingdom).