US government building AI tech to unmask anonymous writers
The US intelligence community has launched a program to develop artificial intelligence that can determine authorship of anonymous writing while also disguising an author's identity by subtly altering their words.
The Human Interpretable Attribution of Text Using Underlying Structure program from the Intelligence Advanced Research Projects Activity aims to build software that can perform"linguistic fingerprinting," the Office of the Director of National Intelligence "Humans and machines produce vast amounts of text content every day.
"We have a strong chance of meeting our goals, delivering much-needed capabilities to the Intelligence Community, and substantially expanding our understanding of variation in human language using the latest advances in computational linguistics and deep learning," said HIATUS program manager Dr Timothy McKinnon.
In order to develop strong models, HIATUS plans to approach its goals as a question of adversarial AI: Authorship attribution and anonymizing text are two sides of the same problem, and so HIATUS experiment groups will be pitted against each other. "Attribution systems are evaluated on ability to match items by the same author in large collections, while privacy systems are evaluated on ability to thwart attribution systems," IARPA said.
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