A CSET report was cited in an article published by the Bulletin of the Atomic Scientists discussing the increasing use of artificial intelligence and the need for better AI literacy in the United States.

In an op-ed published in The Diplomat, Ngor Luong and Channing Lee discuss the rapid expansion of Chinese tech companies such as Alibaba, Tencent, and Huawei in Southeast Asia.

Fox Business featured CSET's Ngor Luong in an article that discusses the potential for new restrictions on US investors investing in Chinese firms that specialize in sensitive technologies such as AI.

CSET's Helen Toner spoke with Axios in an article discussing China's lead over the U.S. in enacting rules for artificial intelligence.

CSET's Heather Frase was interviewed by Politico, and the discussion was published in their newsletter in a segment that discusses a plan by the U.S. government to conduct a public experiment at the DEFCON 31 hacking convention in August.

CSET's Heather Frase was quoted by the Associated Press in an article discussing the Biden administration's efforts to ensure the responsible development of AI.

CSET Research Analyst Micah Musser and Institute for Progress Fellow Tim Hwang discussed CSET research examining factors that will contribute to future AI development.

CSET's Hanna Dohmen was quoted by the South China Morning Post in an article discussing China's recent announcement of concerns about potential risks from artificial general intelligence.

A CSET data brief by Micah Musser, Rebecca Gelles, Ronnie Kinoshita, Catherine Aiken, and Andrew Lohn was cited by Politico in a newsletter about the rapidly changing field of artificial intelligence and the debate surrounding its regulation.

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.