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.

A CSET data snapshot was cited by CNBC in an article that focuses on the increasing prevalence of AI-specific degree programs, driven by the high demand for AI skills in the job market.

In a BBC Radio 4's "The Rise and Rise of the Microchip" episode that revolves around the intricate domain of the microchip industry, CSET's Hanna Dohmen provided her expert insights.

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 an article published by The Messenger, Luke Koslosky provided his expert insights in the evolving landscape of artificial intelligence (AI) education and job opportunities.

In a WIRED article discussing issues with Microsoft's AI chatbot providing misinformation, conspiracies, and outdated information in response to political queries, CSET's Josh A. Goldstein provided his expert insights.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.

CSET's Ngor Luong provided her expert analysis in an article published by Fox Business. The article delves into the recently proposed restrictions on U.S. investments in China's technology sector by the Biden administration.

In his op-ed featured in Defense One, Jaret Riddick discusses the need for the Pentagon to leverage existing laws and new metrics to enhance the research capacity of historically Black colleges and universities (HBCUs) in the United States.

Two CSET researchers are coauthors for a new multi-organization report about the safety of AI systems led by OpenAI and the Berkeley Risk and Security Lab. The report, published on arXiv, identified six confidence-building measures (CBMs) that could be applied by AI labs to reduce hostility, prevent conflict escalation, and improve trust between parties as it relates to foundation AI models.