CSET is closing out the year with a two-part series examining the use of AI to enhance automated disinformation operations. This month, our researchers showcased applications for AI-enabled cyber defenses, provided a framework for judges to address AI, used CSET’s crowd forecasting platform, Foretell, to understand the relationship between the DOD and Silicon Valley, and developed a methodology for measuring the publication growth of AI-related topics. Our experts also introduced specification as a key element in the development of machine learning systems in the fourth installment in a series on AI safety. And using the Map of Science, our researchers explored protein-folding using AlphaFold and supercomputers in two new Data Snapshots.
Our latest publications:
- Key Concepts in AI Safety: Specification in Machine Learning by Tim G. J. Rudner and Helen Toner
- Exploring protein-folding AI research with the Map of Science by Sara Abdulla
- Measuring AI Development by Jack Clark, Kyle Miller and Rebecca Gelles
- AI for Judges by Jamie Baker, Laurie Hobart, and Matthew Mittelsteadt
- AI and the Future of Disinformation Campaigns, Part 1: A RICHDATA Framework by Katerina Sedova, Christine McNeill, Aurora Johnson, Aditi Joshi and Ido Wulkan
- Wisdom of the Crowd as Arbiter of Expert Disagreement by Michael Page
- Making AI Work for Cyber Defense by Wyatt Hoffman
- Exploring Supercomputing with the Map of Science by Autumn Toney
- AI and the Future of Disinformation Campaigns, Part 2: A Threat Model by Katerina Sedova, Christine McNeill, Aurora Johnson, Aditi Joshi and Ido Wulkan