In an article published by TIME, Rita Konaev provided her expert insights on the involvement of tech giants in the Russia-Ukraine War.

A report from CSET was featured in a CNBC article that discusses Singapore's significant potential to become a global AI hub.

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 op-ed article published in Lawfare, CSET’s Lauren Kahn discusses the increasing integration of Artificial Intelligence (AI) in military operations globally and the need for effective governance to avoid potential mishaps and escalation.

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 an article published by The Hill that discusses the growing concerns and risks associated with artificial intelligence (AI), CSET's Dewey Murdick provided his expert insights.

While recent progress in artificial intelligence (AI) has relied primarily on increasing the size and scale of the models and computing budgets for training, we ask if those trends will continue. Financial incentives are against scaling, and there can be diminishing returns to further investment. These effects may already be slowing growth among the very largest models. Future progress in AI may rely more on ideas for shrinking models and inventive use of existing models than on simply increasing investment in compute resources.

In an article published by Bloomberg that discusses the the influence of Big Tech companies on the artificial intelligence (AI) startup ecosystem, CSET's Ngor Luong provided her expert insights.

In an article by Forbes discussing the recent economic trends in the United States following the Covid-19 recession, CSET's Matthias Oschinski provided his expert insights.

This guide provides a run-down of CSET’s research since 2019 for first-time visitors and long-term fans alike. Quickly get up to speed on our “must-read” research and learn about how we organize our work.