This report analyzes over 250 scientific publications that use open language models in ways that require access to model weights and derives a taxonomy of use cases that open weights enable. The authors identified a diverse range of seven open-weight use cases that allow researchers to investigate a wider scope...
CyberAI
CSET’s CyberAI Project focuses on the intersection of AI/ML and cybersecurity, including analysis of AI/ML’s potential uses in cyber operations, the potential failure modes of AI/ML applications for cyber, how AI/ML may amplify future disinformation campaigns, and geostrategic competition centered around cyber and AI/ML.
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Harmonizing AI Guidance: Distilling Voluntary Standards and Best Practices into a Unified Framework
Kyle Crichton,Abhiram Reddy,Jessica Ji,Ali Crawford,Mia Hoffmann,Colin Shea-Blymyer,and John Bansemer
|September 2025Organizations looking to adopt artificial intelligence (AI) systems face the challenge of deciphering a myriad of voluntary standards and best practices—requiring time, resources, and expertise that many cannot afford. To address this problem, this report distills over 7,000 recommended practices from 52 reports into a single harmonized framework. Integrating new...
This roundtable report explores how practitioners, researchers, educators, and government officials view work-based learning as a tool for strengthening the cybersecurity workforce. Participants engaged in an enriching discussion that ultimately provided insight and context into what makes work-based learning unique, effective, and valuable for the cyber workforce.
Recent Blog Articles
AI Red-Teaming Design: Threat Models and Tools
October 24, 2025Red-teaming is a popular evaluation methodology for AI systems, but it is still severely lacking in theoretical grounding and technical best practices. This blog introduces the concept of threat modeling for AI red-teaming and explores the ways that software tools can support or hinder red teams. To do effective evaluations,...
As AI agents become more autonomous and capable, organizations need new approaches to deploy them safely at scale. This explainer introduces the rapidly growing field of AI control, which offers practical techniques for organizations to get useful outputs from AI agents even when the AI agents attempt to misbehave.
Recent op-eds comparing the United States’ and China’s artificial intelligence (AI) programs fault the former for its focus on artificial general intelligence (AGI) while praising China for its success in applying AI throughout the whole of society. These op-eds overlook an important point: although China is outpacing the United States...
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Related News
John Bansemer and Kyle Miller shared their expert analysis in a report published by the International Institute for Strategic Studies. In their piece, they highlight the release of DeepSeek’s open-weight AI model “R1” in January 2025 and its major impact on global AI competition, especially between China and the United States.
In an article published by NPR which the discusses the surge in AI-generated spam on Facebook and other social media platforms, CSET's Josh A. Goldstein provided his expert insights.
In The News
How Spammers, Scammers and Creators Leverage AI-Generated Images on Facebook for Audience Growth
March 19, 2024
In a new preprint paper, CSET's Josh A. Goldstein and the Stanford Internet Observatory's Renee DiResta explored the use of AI-generated imagery to drive Facebook engagement.
In an article published by the Brennan Center for Justice, Josh A. Goldstein and Andrew Lohn delve into the concerns about the spread of misleading deepfakes and the liar's dividend.
In The News
Microsoft’s AI Chatbot Replies to Election Questions With Conspiracies, Fake Scandals, and Lies
December 15, 2023
In a WIRED article discussing issues with Microsoft's AI chatbot providing misinformation, conspiracies, and outdated information in response to political queries, CSET's Josh A. Goldstein provided his expert insights.
In a KCBS Radio segment that explores the rapid rise of AI and its potential impact on the 2024 election, CSET's Josh Goldstein provides his expert insights.
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