Published June 24, 2024
| Version v1
Dataset
Open
CSET Private-Sector AI Indicators
Authors/Creators
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Center for Security and Emerging Technology
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Melot, Jennifer
(Contact person)
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Arnold, Zachary
(Data manager)
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Gelles, Rebecca
(Data manager)
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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.
Files
parat_data_20240624.zip
Files
(810.2 kB)
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md5:c12c9a1025af0e5cedbd8dd578b13a21
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Additional details
Software
- Repository URL
- https://github.com/georgetown-cset/parat