Daniel Chou is a Data Scientist at Georgetown’s Center for Security and Emerging Technology (CSET) focused on transforming data into knowledge. He previously worked at Defense Group supporting government clients with analytics of geospatial, unstructured, and text-based data sets. Daniel enjoys playing the game of Go. He was a member of the U.S. Go Team in the 1st World Mind Sports Games. Daniel holds degrees from Johns Hopkins University (MSE, Computer Science) and Caltech (B.S., Mathematics).

New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.

In this proof-of-concept project, CSET and Amplyfi Ltd. used machine learning models and Chinese-language web data to identify Chinese companies active in artificial intelligence. Most of these companies were not labeled or described as AI-related in two high-quality commercial datasets. The authors' findings show that using structured data alone—even from the best providers—will yield an incomplete picture of the Chinese AI landscape.

China AI-Brain Research

September 2020

Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players and organizations and recommending the creation of an open source S&T monitoring capability within the U.S. government.