Findings from CSET's report "AI and the Future of Disinformation Campaigns, Part 1: The RICHDATA Framework" offers insight into the use of AI and machine learning to amplify disinformation campaigns.

A new CSET report by Tim Rudner and Helen Toner introduces specification in machine learning as a key element in greater AI safety.

Forbes highlights CSET's report, "China's Progress in Semiconductor Manufacturing Equipment," in a discussion of U.S. leverage over the semiconductor supply chain.

CSET's Will Hunt spoke with Ars Technica over the continuous demand for semiconductors and supply chain disruptions.

CSET's machine learning primer "Hacking AI" illustrates how hackers can access AI systems and argues for policymakers to build a robust and transparent AI for military systems.

CSET Research Analyst Dakota Cary discusses China's new Data Security Law and the effects of its cyber vulnerability disclosure provisions to hack other countries.

In Bank Automation New's latest podcast CSET's Micah Musser breaks down how AI and ML can heighten and hinder security, and how financial institutions can separate marketing fiction from cybersecurity reality.

Drawing from his research, Andrew Lohn discusses GPT-3's ability to create disinformation at the 2021 Black Hat conference.

In her testimony before the Senate Select Committee on Intelligence, CSET Senior Fellow Anna Puglisi discussing U.S. implications if China loses its "technological edge" to China.

In their Black Hat Talk, CSET's Andrew Lohn and Micah Musser discuss their research using GPT-3 and its ability to create disinformation from their publication "Truth, Lies, and Automation."