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

How Persuasive is AI-Generated Propaganda?

Josh A. Goldstein, Jason Chao, Shelby Grossman, Alex Stamos, and Michael Tomz
| February 2024

Research participants who read propaganda generated by GPT-3 davinci (a large language model) were nearly as persuaded as those who read real propaganda from Iran or Russia, according to a new peer-reviewed study by Josh A. Goldstein and co-authors.

Formal Response

Comment on NIST RFI Related to the Executive Order Concerning Artificial Intelligence (88 FR 88368)

Mina Narayanan, Jessica Ji, and Heather Frase
| February 2, 2024

On February 2, 2024, CSET's Assessment and CyberAI teams submitted a response to NIST's Request for Information related to the Executive Order Concerning Artificial Intelligence (88 FR 88368). In the submission, CSET compiles recommendations from six CSET reports and analyses in order to assist NIST in its implementation of AI Executive Order requirements.

Read our translation of a Chinese government document that identifies “future industries” in six areas—manufacturing, IT, materials, energy, space, and health—as priorities for China’s industrial policy.

CSET's Ngor Luong testified before the U.S.-China Economic and Security Review Commission where she discussed Chinese investments in military applications of AI.

CSET's Jack Corrigan testified before the U.S.-China Economic and Security Review Commission where he discussed security threats posed by Chinese information and communications technology systems.

Data Snapshot

Introducing the Cyber Jobs Dataset

Maggie Wu
| February 6, 2024

This data snapshot is the first in a series on CSET’s cybersecurity jobs data, a new dataset created by classifying data from 513 million LinkedIn user profiles. Here, we offer an overview of its creation and explore some use cases for analysis.

Read our translation of a regulation that describes various financial and policy incentives that Qianhai District in southern China’s Shenzhen City is taking to promote the growth of its AI industry.

Data Snapshot

The U.S. AI Workforce: Analyzing Current Supply and Growth

Sonali Subbu Rathinam
| January 30, 2024

Understanding the current state of the AI workforce is essential as the U.S. prepares an AI-ready workforce. This Data Snapshot provides the latest estimates for the AI workforce by using data from the U.S. Census Bureau’s 2022 American Community Survey. It also highlights the changes in size and composition of the AI workforce since our earlier analysis of data from 2018.

Formal Response

Comment on Advanced Computing Chips Rule

Jacob Feldgoise and Hanna Dohmen
| January 17, 2024

On January 17, 2024, CSET Researchers submitted a response to proposed rules from the Bureau of Industry and Security at the U.S. Department of Commerce. In the submission, CSET recommends that Commerce not implement controls on U.S. companies providing IaaS to Chinese entities, among other recommendations.

Analysis

The Core of Federal Cyber Talent

Ali Crawford
| January 2024

Strengthening the federal cyber workforce is one of the main priorities of the National Cyber Workforce and Education Strategy. The National Science Foundation’s CyberCorps Scholarship-for-Service program is a direct cyber talent pipeline into the federal workforce. As the program tries to satisfy increasing needs for cyber talent, it is apparent that some form of program expansion is needed. This policy brief summarizes trends from participating institutions to understand how the program might expand and illustrates a potential future artificial intelligence (AI) federal scholarship-for-service program.