A 2020 CSET report was cited in an article published by Axios. The article discusses a letter signed by more than five dozen experts, including former national security officials, urging the House China Select Committee to address immigration obstacles for international science and engineering graduate students and workers.
Israel has by far the largest AI ecosystem in the Middle East as measured in AI companies and financial investments, and foreign investors play a critical role in Israel’s AI market growth. This issue brief finds that AI investments in Israel have mostly originated from the United States. To date, Chinese investors have played a limited role in funding Israel’s dynamic AI companies. But understanding the risk of Chinese investments into the Israeli AI ecosystem will be important for the national security of both the United States and Israel.
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.
U.S. tech companies have played a critical role in the international effort to support and defend Ukraine against Russia. To better understand and envision how these companies can help U.S. strategic interests, CSET convened a group of industry experts and former government leaders to discuss lessons learned from the ongoing war in Ukraine and what those lessons might mean for the future. The workshop’s discussion and this accompanying report expand on the themes explored in the October 2022 "Foreign Affairs" article, "Big Tech Goes to War."
CSET was featured in an article published by Fast Company discussing the American chip industry and the federal government's plan to provide billions to semiconductor manufacturers to establish their next factories in the U.S.
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.
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