CyberAI

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.

WIRED highlighted CSET Research Analyst Micah Musser in an article that references a report published by CSET, in collaboration with OpenAI and Stanford Internet Observatory. The report examines the potential misuse of language models in influence operations in the future and offers a framework for evaluating potential countermeasures.

Disinformation Researchers Raise Alarms About A.I. Chatbots

The New York Times
| February 8, 2023

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 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.

Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and How to Reduce Risk

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 provide a framework for assessing potential mitigation strategies.

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.

Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and How to Reduce Risk

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.

Compute Accounting Principles Can Help Reduce AI Risks

Tech Policy Press
| November 30, 2022

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.