This report presents an analytic approach to help U.S. policymakers deconstruct artificial intelligence governance proposals by identifying their underlying assumptions, which are the foundational elements that facilitate the success of a proposal. By applying the… Read More

Organizations 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… Read More

CSET’s Jessica Ji shared her expert analysis in an interview published by Science News. The interview discusses the U.S. government’s new action plan to integrate artificial intelligence into federal operations and highlights the significant privacy,… Read More

CSET’s Jessica Ji, Vikram Venkatram, and Mina Narayanan shared their expert insights in an op-ed published by The Hill. In their piece, they caution against a Senate proposal to ban state-level AI regulation for 10… Read More

Effectively evaluating AI models is more crucial than ever. But how do AI evaluations actually work? Our explainer lays out the different fundamental types of AI safety evaluations alongside their respective strengths and limitations. Read More

Despite recent upheaval in the AI policy landscape, AI evaluations—including AI red-teaming—will remain fundamental to understanding and governing the usage of AI systems and their impact on society. This blog post draws from a December… Read More

Artificial intelligence models have become increasingly adept at generating computer code. They are powerful and promising tools for software development across many industries, but they can also pose direct and indirect cybersecurity risks. This report… Read More

As critical infrastructure operators and providers seek to harness the benefits of new artificial intelligence capabilities, they must also manage associated risks from both AI-enabled cyber threats and potential vulnerabilities in deployed AI systems. In… Read More

This year, CSET researchers returned to the DEF CON cybersecurity conference to explore how understandings of AI red-teaming practices have evolved among cybersecurity practitioners and AI experts. This blog post, a companion to… Read More

On February 2, 2024, CSET's Assessment and CyberAI teams submitted a response to NIST's Request for Information related to the Executive Order Concerning Artificial Intelligence (88 FR 88368). In the submission, CSET compiles recommendations from… Read More

Concerns over risks from generative artificial intelligence systems have increased significantly over the past year, driven in large part by the advent of increasingly capable large language models. But, how do AI developers attempt to… Read More

“AI red-teaming” is currently a hot topic, but what does it actually mean? This blog post explains the term’s cybersecurity origins, why AI red-teaming should incorporate cybersecurity practices, and how its evolving definition and sometimes… Read More

AI capabilities are evolving quickly and pose novel—and likely significant—risks. In these rapidly changing conditions, how can policymakers effectively anticipate and manage risks from the most advanced and capable AI systems at the frontier of… Read More

CSET's Ali Crawford and Jessica Ji submitted this comment to the Office of the National Cyber Director in response to a request for information on a national strategy for a cyber workforce, training, and education. Read More