China has built a surveillance state that has increasingly incorporated AI-enabled technologies. Their use during the COVID-19 pandemic has softened the image of China’s surveillance system, presenting unique challenges to preventing the spread of such technologies around the globe. This policy brief outlines core actions the United States and its allies can take to combat the spread of surveillance systems that threaten basic human rights.

AI has the potential to revolutionize approaches to climate change research. Using CSET's Map of Science, this data brief maps the production of research publications at the intersection of AI and climate change to better understand how AI methods are being applied to climate change-related research.

Based on news coverage alone, it can seem as if corporations dominate the research on artificial intelligence and machine learning when compared to the work of universities and academia. Authors Simon Rodriguez, Tim Hwang and Rebecca Gelles analyze the data over the past decade of research publications and find that, in fact, universities are the more dominant producers of AI papers. They also find that while corporations do tend to generate more citations to the work they publish in the field, these “high performing” papers are most frequently cross-collaborations with university labs.

Read out translation of an interview of Chinese AI expert Song-Chun Zhu, who argues that China’s AI industry should chart a different course than the current U.S. focus on data- and compute-heavy large language models.

As artificial intelligence is applied to new and more complex tasks, the computational power necessary to develop and deploy it will become increasingly expensive. This policy brief offers a concise overview of the full report, “AI Chips: What They Are and Why They Matter.”

See our original translation of excerpts from Shanghai’s five-year plan for S&T development.

The global AI industry is booming, with privately held firms pulling in nearly $40 billion in disclosed investment in 2019 alone. U.S. companies continue to attract the majority of that funding—64 percent of it in 2019—but that lead is not guaranteed. This report analyzes AI investment data from 2015 to 2019 to help better understand trends in the global AI landscape.

This is a translation of China’s plan for applying high technology to the field of transportation.

Georgetown University’s Center for Security and Emerging Technology and Beeck Center for Social Impact and Innovation, together with the Georgetown Law Institute for Technology Law and Policy (Tech Institute), led a series of invite-only roundtables over the course of 2024 to grapple with the legal liability questions that artificial intelligence poses, examine AI’s potential to transform government services, and consider how the government can better attract and use AI talent. This resulting report was authored in 2024 after those discussions and is the fourth and final installment of a four-part series.

Chinese and Russian government officials are keen to publicize their countries’ strategic partnership in emerging technologies, particularly artificial intelligence. This report evaluates the scope of cooperation between China and Russia as well as relative trends over time in two key metrics of AI development: research publications and investment. The findings expose gaps between aspirations and reality, bringing greater accuracy and nuance to current assessments of Sino-Russian tech cooperation.