A report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory offers a comprehensive analysis of how AI-generated text can spread influence operations and offers some thoughtful ideas on what governments, AI developers, and tech platforms might do about it.
Josh A. GoldsteinGirish SastryMicah MusserRenée DiRestaMatthew GentzelKaterina Sedova
| January 2023
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.
CSET report "Banned in D.C." found that despite federal efforts to block Chinese telecom equipment from U.S. supply chains, state and local governments across the country continued to buy products designated a threat to national security.
In an opinion piece for Lawfare, Research Analyst Micah Musser discussed the new regulations that entered into effect in China requiring companies deploying recommendation algorithms to file details about those algorithms with the Cyberspace Administration of China.
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