Report: “Fake News Generator Created by Neural Network Researchers Aims to Fight Disinformation”
From Geek Wire:
In the battle for AI supremacy, the best defense is a good offense.
That’s the philosophy behind Grover, a neural network application that is fighting disinformation by creating its own fake news.
“We have to be one step ahead of potential misuse,” said Yejin Choi, a University of Washington professor and lead author on the project, which was a collaboration by researchers at UW and the Allen Institute for Artificial Intelligence (AI2)]
Grover’s remarkably realistic news-making engine mimics the style and tone of specific publications and authors. The detection tool was able to tell the difference between human-written news and machine-written news 92 percent of the time, researchers said. Rather than looking at a single word that may be out of place, the model identifies statistical patterns in the overall text to decide if a piece of writing is fake or not.
Read the Complete Article
Direct to Grover Prototype
See Also: Defending Against Neural Fake News (Preprint)
Preprint by the Grover team.
Filed under: News
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Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.