CSET is just getting warmed up this summer season with new research analyzing pressing questions at the intersection of security and emerging technology. We’ve just released a new interactive data visualization tool exploring private-sector companies and their AI R&D. This month our experts also looked back at the history of machine learning, and how it can both weaken and improve cyber defense. Using CSET’s new Map of Science, our reports looked at the global map of research. The United States and China produce the highest output of research publications, but trends suggest a future of less competitive and more collaborative research. CSET also questioned whether AI and other related certifications offer pathways into the AI workforce by looking at data from job postings spanning over 10 years.
Our latest publications:
- Research Security, Collaboration, and the Changing Map of Global R&D by Melissa Flagg, Autumn Toney and Paul Harris
- Comparing the United States’ and China’s Leading Roles in the Landscape of Science by Autumn Toney and Melissa Flagg
- Creating a Map of Science and Measuring the Role of AI in it by Autumn Toney
- Machine Learning and Cybersecurity by Micah Musser and Ashton Garriott
- U.S. Demand for AI Certifications by Diana Gehlhaus and Ines Pancorbo
- Poison in the Well by Andrew Lohn
- PARAT – Tracking the Activity of AI Companies by Rebecca Gelles, Zachary Arnold, Ngor Luong and Jennifer Melot
- Coloring the Map of Science by Autumn Toney