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.

Report

“The Main Resource is the Human”

Micah Musser Rebecca Gelles Ronnie Kinoshita Catherine Aiken Andrew Lohn
| April 2023

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.

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Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshot

The Dynamic Face of AI Pre-Baccalaureate Credentials

Sara Abdulla
| March 29, 2023

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshot

Analyzing the Directionality of Citations in the Map of Science

Autumn Toney Melissa Flagg
| March 1, 2023

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research of interest within CSET’s merged corpus of scholarly literature and Map of Science.

Data Snapshot

Diving into Deep Learning with Keyword Cascade Plots

Autumn Toney Melissa Flagg
| February 15, 2023

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research of interest within CSET’s merged corpus of scholarly literature and Map of Science.

Data Snapshot

Keyword Cascade Plots

Autumn Toney Melissa Flagg
| February 1, 2023

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research of interest within CSET’s merged corpus of scholarly literature and Map of Science.

Data Snapshot

Profile Highlight: HuggingFace

Christian Schoeberl
| December 7, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.

Data Snapshot

Global GitHub: Mapping the Utilization of Open Source Software by Organizations

Christian Schoeberl
| November 9, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.