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Our model, Grover, is a generator that can easily spot its own generated fake news articles, as well as those generated by other AIs. In a challenging setting with limited access to neural fake news articles, Grover obtains over 92% accuracy at telling apart human-written from machine-written news.
Grover’s AI-Detection tool is an advanced platform designed to identify and prevent the spread of “fake neural news” – a type of disinformation created using artificial intelligence. It utilizes a combination of both generation and detection tactics to analyze the language and structure of articles to detect bias, false information, or ...
Sep 17, 2019 · Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks. Visit our project page at rowanzellers.com/grover, the AI2 online demo, or read the full paper at arxiv.org/abs/1905.12616.
Currently, fake news articles are written by humans, but recently-introduced AI technology might enable adversaries to generate fake news. Our goal is to reliably detect this “neural fake news” so that its harm can be minimized. To study and detect neural fake news, we built a model named Grover.
May 29, 2019 · Developing robust verification techniques against generators like Grover is critical. We find that best current discriminators can classify neural fake news from real, human-written, news with 73% accuracy, assuming access to a moderate level of training data.
Meet Grover, the AI developed by the University of Washington and the Allen Institute for AI, designed with a unique twist. Unlike typical AI, Grover has a d...
Jul 15, 2019 · This June, our research team at the University of Washington released Grover, a state-of-the-art detector of neural fake news. Neural Fake News is the threat of AI-generated news articles controlled by human adversaries with the intent to deceive. Grover generates fake news with high quality, though they are far from perfect.
Jun 18, 2019 · In our paper, we introduced Grover, a powerful AI model capable of detecting — and generating — neural fake news. This is due to a finding that is perhaps counterintuitive: strong generators for neural fake news are themselves strong detectors of it.
Jun 11, 2019 · To fight the emerging threat of fake news authored by AI, a team of researchers at the Allen School and Allen Institute for Artificial Intelligence (AI2) developed Grover, a new model for detecting neural fake news more reliably than existing technologies can.
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