Large language models (LLMs) could potentially be used by malicious actors to generate disinformation at scale. But how likely is this risk, and what types of economic incentives do propagandists actually face to turn to LLMs? New analysis uploaded to arXiv and summarized here suggests that it is all but certain that a well-run human-machine team that utilized existing LLMs (even open-source ones that are not cutting edge) would save a propagandist money on content generation relative to a human-only operation.

In a Forbes article discussing the challenges posed by AI-generated content in the context of political campaigns and the upcoming presidential election, CSET's Josh A. Goldstein provided his expert take.

In an article published by NPR that discusses the accessibility and potential impact of generative artificial intelligence applications on political campaigns and public opinion, CSET's Micah Musser provided his expert insights.

CSET's Andrew Lohn and Joshua A. Goldstein share their insights on the difficulties of identifying AI-generated text in disinformation campaigns in their op-ed in Lawfare.

CSET's Jenny Jun was featured in the Atlantic Council's The 5x5, a series that showcases five experts answering five questions on a common theme, trend, or current event in the world of cyber.

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 Forbes.

CSET's Josh A. Goldstein and OpenAI's Girish Sastry co-authored an insightful article on language models and disinformation that was published in Foreign Affairs.

NPR published an article featuring CSET's Josh Goldstein. Goldstein provided expert insight on the topic.

CSET's Josh A. Goldstein was recently quoted in a WIRED article about state-backed hacking groups using fake LinkedIn profiles to steal information from their targets. Goldstein provides insight by highlighting the issues in the disinformation space.

An article published in OODA Loop cited a report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory. The report explores the potential misuse of language models for influence operations in the future, and provides a framework for assessing mitigation strategies.