The disinformation threat from text-generating AI

- Bryan Walsh, author ofAxios Future

Illustration: Eniola Odetunde/Axios
A new report lays out the ways that cutting-edge text-generating AI models could be used to aid disinformation campaigns.
Why it matters: In the wrong hands text-generating systems could be used to scale up state-sponsored disinformation efforts — and humans would struggle to know when they're being lied to.
How it works: Text-generating models like OpenAI's leading GPT-3 are trained on vast volumes of internet data, and learn to write eerily life-like text off human prompts.
- In their new report released this morning, researchers from Georgetown's Center for Security and Emerging Technology (CSET) examined how GPT-3 might be used to turbocharge disinformation campaigns like the one carried out by Russia's Internet Research Agency (IRA) during the 2016 election.
What they found: While "no currently existing autonomous system could replace the entirety of the IRA," algorithmically based tech paired with experienced human operators produces results that are nothing less than frightening.
- Like many other automation and AI technologies, GPT-3's real power is in its ability to scale, says Ben Buchanan, director of the CyberAI Project at CSET and a co-author of the report.
- GPT-3 "lets operators try a bunch of variants on a message and see what sticks," he says. "The scale might lead to more effective feedback loops and iterations."
- "A future disinformation campaign may, for example, involve senior-level managers giving instructions to a machine instead of overseeing teams of human content creators," the authors write. "The managers would review the system’s outputs and select the most promising results for distribution."
What to watch: While OpenAI has tightly restricted access to GPT-3, Buchanan notes that it's "likely that open source versions of GPT-3 will eventually emerge, greatly complicating any efforts to lock the technology down."
- Researchers at Huawei have already created a Chinese-language equivalent at the scale of GPT-3, and plan to provide it freely to all.
- Because identifying the latest computer-generated text is difficult, Buchanan says the best defense is for platforms to "crack down on the fake accounts" used to disseminate misinformation.
The bottom line: Like much of social media more broadly, the report's authors write that systems like GPT-3 seem "more adept as fabulists than as staid truth-tellers."