Publications

CSET produces evidence-driven analysis in a variety of forms, from informative graphics and translations to expert testimony and published reports. Our key areas of inquiry are the foundations of artificial intelligence — such as talent, data and computational power — as well as how AI can be used in cybersecurity and other national security settings. We also do research on the policy tools that can be used to shape AI’s development and use, and on biotechnology.

Analysis

AI Safety and Automation Bias

Lauren Kahn, Emelia Probasco, and Ronnie Kinoshita
| November 2024

Automation bias is a critical issue for artificial intelligence deployment. It can cause otherwise knowledgeable users to make crucial and even obvious errors. Organizational, technical, and educational leaders can mitigate these biases through training, design, and processes. This paper explores automation bias and ways to mitigate it through three case studies: Tesla’s autopilot incidents, aviation incidents at Boeing and Airbus, and Army and Navy air defense incidents.

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Analysis

Fueling China’s Innovation: The Chinese Academy of Sciences and Its Role in the PRC’s S&T Ecosystem

Cole McFaul, Hanna Dohmen, Sam Bresnick, and Emily S. Weinstein
| October 2024

The Chinese Academy of Sciences is among the most important S&T organizations in the world and plays a key role in advancing Beijing’s S&T objectives. This report provides an in-depth look into the organization and its various functions within China’s S&T ecosystem, including advancing S&T research, fostering the commercialization of critical and emerging technologies, and contributing to S&T policymaking.

Analysis

China’s Military AI Roadblocks

Sam Bresnick
| June 2024

China’s leadership believes that artificial intelligence will play a central role in future wars. However, the author's comprehensive review of dozens of Chinese-language journal articles about AI and warfare reveals that Chinese defense experts claim that Beijing is facing several technological challenges that may hinder its ability to capitalize on the advantages provided by military AI. This report outlines these perceived barriers and identifies several technologies that Chinese experts believe may help the country develop and deploy military AI-enabled systems.

Analysis

Gao Huajian and the China Talent Returnee Question

William Hannas, Huey-Meei Chang, and Daniel Chou
| May 2024

The celebrated return to China of its overseas scientists, as evidenced in the recent case of physicist Gao Huajian, is typically cited as a loss to the United States. This report argues a contrarian view that the benefits equation is far more complicated. PRC programs that channel diaspora achievements “back” to China and the inclination of many scientists to work in familiar venues blur the distinction between returning to China and staying in place.

Analysis

Bibliometric Analysis of China’s Non-Therapeutic Brain-Computer Interface Research

William Hannas, Huey-Meei Chang, Rishika Chauhan, Daniel Chou, John O’Callaghan, Max Riesenhuber, Vikram Venkatram, and Jennifer Wang
| March 2024

China’s brain-computer interface research has two dimensions. Besides its usual applications in neuropathology, China is extending the benefits of BCI to the general population, aiming at enhanced cognition and a “merger” of natural and artificial intelligence. This report, authored in collaboration with researchers from the Department of War Studies at King’s College London uses bibliometric analysis and expert assessment of technical documents to evaluate China’s BCI, and conclude that the research is on track to achieve its targets.

Analysis

Assessing China’s AI Workforce

Dahlia Peterson, Ngor Luong, and Jacob Feldgoise
| November 2023

Demand for talent is one of the core elements of technological competition between the United States and China. In this issue brief, we explore demand signals in China’s domestic AI workforce in two ways: geographically and within the defense and surveillance sectors. Our exploration of job postings from Spring 2021 finds that more than three-quarters of all AI job postings are concentrated in just three regions: the Yangtze River Delta region, the Pearl River Delta, and the Beijing-Tianjin-Hebei area.

Analysis

The PRC’s Efforts Abroad

Owen Daniels
| September 2023

This report summarizes more than 20 CSET reports, translations, and data analyses to provide insight into the steps China has taken to increase its technological competitiveness beyond its own borders.

Analysis

The PRC’s Domestic Approach

Owen Daniels
| September 2023

This report summarizes more than 20 CSET reports, translations, and data analyses to provide insight into China’s internal actions to advance and implement its technology-related policy goals

Translation

Translation Snapshot: Chinese Overseas Talent Recruitment

Ben Murphy
| September 6, 2023

Translation Snapshots are short posts that highlight related translations produced by CSET’s in-house translation team. Each snapshot identifies relevant translations, provides short summaries, and links to the full translations. Check back regularly for additional Translation Snapshots highlighting our work.

Analysis

China’s Cognitive AI Research

William Hannas, Huey-Meei Chang, Max Riesenhuber, and Daniel Chou
| July 2023

An expert assessment of Chinese scientific literature validates China's public claim to be working toward artificial general intelligence (AGI). At a time when other nations are contemplating safeguards on AI research, China’s push toward AGI challenges emerging global norms, underscoring the need for a serious open-source monitoring program to serve as a foundation for outreach and mitigation.

Analysis

Spotlight on Beijing Institute for General Artificial Intelligence

Huey-Meei Chang and William Hannas
| May 2023

In late 2020, China established the Beijing Institute for General Artificial Intelligence, a state-backed institution dedicated to building software that emulates or surpasses human cognition in many or all of its aspects. Open source materials now available provide insight into BIGAI’s goals, scope, organization, methodology, and staffing. The project formalizes a trend evident in Chinese AI development toward broadly capable (general) AI.