Militaries seek to harness artificial intelligence for decision advantage. Yet AI systems introduce a new source of uncertainty in the likelihood of technical failures. Such failures could interact with strategic and human factors in ways that lead to miscalculation and escalation in a crisis or conflict. Harnessing AI effectively requires managing these risk trade-offs by reducing the likelihood, and containing the consequences of, AI failures.

GovInfoSecurity published an article that quotes CSET's nonresident research fellow, Chris Rohlf, discussing the recently announced U.S. government national cybersecurity strategy.

BBC News cited a report authored by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in partnership with OpenAI and Stanford Internet Observatory. Alongside the report, BBC News quoted Josh Goldstein regarding the current status of AI systems.

A report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory was cited in an article published by The New York Times about the potential dangers of AI-powered chatbots.

A report by CSET’s Emily S. Weinstein and Ngor Luong, was cited in an article published by Roll Call. The report identifies the main U.S. investors active in the Chinese artificial intelligence market and the set of AI companies in China that have benefitted from U.S. capital.

A report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory was cited in an article published by Grid. The report examines the potential misuse of language models for influence operations in the future and proposes a structure for evaluating possible solutions to this problem.

A report by CSET’s Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory was cited in an article published on Medium. The report explores how language models could be misused for influence operations in the future, and it provides a framework for assessing potential mitigation strategies.

Machine learning advances have powered the development of new and more powerful generative language models. These systems are increasingly able to write text at near human levels. In a new report, authors at CSET, OpenAI, and the Stanford Internet Observatory explore how language models could be misused for influence operations in the future, and provide a framework for assessing potential mitigation strategies.

In an opinion piece for Tech Policy Press, CSET's Krystal Jackson, Karson Elmgren, Jacob Feldgoise, and their coauthor Andrew Critch wrote about computational power as a key factor driving AI progress.

In an opinion piece for Foreign Policy, Research Analyst Jack Corrigan and Michael Kratsios drew from their CSET report to share how policymakers can build a more unified defense against foreign technology threats to secure American networks and bolster the U.S. tech economy.