CSET Private-Sector AI Indicators
Creators
-
Center for Security and Emerging Technology
-
Melot, Jennifer
(Contact person)
-
Arnold, Zachary
(Data manager)
-
Gelles, Rebecca
(Data manager)
-
Luong, Ngor
(Data manager)
- Chen, Eileen (Data collector)
- Thai, Alina (Data collector)
- Lee, Kieran (Data collector)
- Jenkins, Lindsay (Data collector)
- Filler, Ari (Data collector)
- Snyder, Maya (Data collector)
- Wang, Julio (Data collector)
- Pednekar, Sonali (Data collector)
- Pardeshi, Nikita (Data collector)
- Xu, Tianyi (Data collector)
- Chen, Yudi (Data collector)
- Kannan, Vinayak (Data collector)
Description
The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation.
Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
Files
parat_data.zip
Files
(35.9 MB)
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Additional details
Software
- Repository URL
- https://github.com/georgetown-cset/parat