In a report for the Observer Research Foundation, Research Analyst Husan Chahal writes about the ethics of artificial intelligence and how the multitude of efforts across such a diverse group of stakeholders reflects the need for guidance in AI development.

Digital technology, the defining innovation of the last half century, has deep and unaddressed insecurities at its core. This paper, authored by two prominent technologists and strategic thinkers, argues that a new form of “digital environmentalism”—marked by a re-evaluation of our relationship to technology, growth, and innovation—is the only way to fix such insecurities, and to bring meaningful change to the digital world.

In an opinion piece for Nature, CSET's Director Dewey Murdick draws from his own experiences and expertise to share how scientists and other technical experts can inform valuable policy decisions and communicate with policymakers.

A CSET report found that by 2025, Chinese STEM Ph.D. graduates would outnumber their U.S. counterparts more than 3 to 1, if international students are excluded from the U.S. count.

Tracking the output of a country’s researchers can inform assessments of its innovativeness or assist in evaluating the impact of certain funding initiatives. However, measuring research output is not as straightforward as it may seem. Using a detailed analysis that includes Chinese-language research publications, this data brief reveals that China's lead in artificial intelligence research output is greater than many English-language sources suggest.

CSET's Daniel Chou provides an update on previous CSET research exploring China's security forces' AI research portfolio.

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.

China’s State Key Laboratory system drives innovation in science and technology. These labs conduct cutting-edge basic and applied research, attract and train domestic and foreign talent, and conduct academic exchanges with foreign counterparts. This report assesses trends in the research priorities, management structures, and talent recruitment efforts of nearly five hundred Chinese State Key Labs. The accompanying data visualization maps their geographical locations and host institutions.

A CSET report estimated that China spent $1.6 billion to $5.4 billion on civilian AI research and development.

China is banking on applying AI to biotechnology research in order to transform itself into a “biotech superpower.” In pursuit of that goal, it has emphasized bringing together different aspects of the development cycle to foster multidisciplinary research. This data brief examines the emerging trend of co-location of AI and biotechnology researchers and explores the potential impact it will have on this growing field.