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.

Applications


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Data Snapshot

Exploring the Company Stage of Development Feature in PARAT

Autumn Toney
| April 27, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the sixth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

Translation

Notice of the State Administration of Foreign Experts Affairs on the Publication of a Trial Implementation Proposal for a Work Permit System for Foreigners in China

April 21, 2022

Read our original translation of a 2016 PRC notice that describes the process by which "foreign experts" receive permission to work in China.

Data Snapshot

Examining Patent Data in PARAT: Patent Applications

Sara Abdulla
| April 13, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fifth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

Analysis

The Long-Term Stay Rates of International STEM PhD Graduates

Jack Corrigan, James Dunham, and Remco Zwetsloot
| April 2022

This issue brief uses data from the National Science Foundation’s Survey of Doctorate Recipients to explore how many of the international students who earn STEM PhDs from U.S. universities stay in the country after graduation. The authors trace the journeys that these graduates take through the immigration system and find that most remain in the United States long after earning their degrees.

Translation

2016 Annual Report on State Key Laboratories

March 31, 2022

Read our original translation of a 2017 PRC report that lists all of China's state key laboratories and summarizes their key accomplishments from the previous year.

Data Snapshot

Examining Patent Data in PARAT  

Sara Abdulla
| March 30, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fourth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

Testimony

Caroline Schuerger’s Testimony Before the Bipartisan Commission on Biodefense

Caroline Schuerger
| March 22, 2022

CSET Research Fellow Caroline Schuerger testified before the Bipartisan Commission on Biodefense hearing on "The Biological Threat Expanse" Current and Future Challenges to National Biodefense." She discussed threats to the bioeconomy and steps the U.S. and its allies can take to harness biotechnology's capabilities and raise awareness of risky research.

Data Snapshot

Where are Companies Publishing AI Papers?

Autumn Toney
| March 16, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the third in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

Formal Response

Recommendations to the U.S. Department of Commerce to support a strong domestic semiconductor industry

Will Hunt
| March 15, 2022

CSET submitted this comment to the Department of Commerce to inform incentives, infrastructure, and research and development needed to support a strong domestic semiconductor industry.

Analysis

Securing AI

Andrew Lohn and Wyatt Hoffman
| March 2022

Like traditional software, vulnerabilities in machine learning software can lead to sabotage or information leakages. Also like traditional software, sharing information about vulnerabilities helps defenders protect their systems and helps attackers exploit them. This brief examines some of the key differences between vulnerabilities in traditional and machine learning systems and how those differences can affect the vulnerability disclosure and remediation processes.