In an interview with CyberScoop, Research Fellow Josh A. Goldstein discussed his research, in collaboration with Open AI and Stanford's Internet Observatory, on the use of large language models to deploy propaganda.
Josh A. Goldstein, Girish Sastry, Micah Musser, Renée DiResta, Matthew Gentzel, and Katerina 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 they 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 a piece examining Google's work on various AI projects, Axios highlights the potential for AI to turbocharge disinformation campaigns and cites CSET's work examining this possibility.
CSET's Ali Crawford and Jessica Ji submitted this comment to the Office of the National Cyber Director in response to a request for information on a national strategy for a cyber workforce, training, and education.
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.
China is rapidly building cyber ranges that allow cybersecurity teams to test new tools, practice attack and defense, and evaluate the cybersecurity of a particular product or service. The presence of these facilities suggests a concerted effort on the part of the Chinese government, in partnership with industry and academia, to advance technological research and upskill its cybersecurity workforce—more evidence that China has entered near-peer status with the United States in the cyber domain.
Funding and priorities for technology development today determine the terrain for digital battles tomorrow, and they provide the arsenals for both attackers and defenders. Unfortunately, researchers and strategists disagree on which technologies will ultimately be most beneficial and which cause more harm than good. This report provides three examples showing that, while the future of technology is impossible to predict with certainty, there is enough empirical data and mathematical theory to have these debates with more rigor.
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