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Checking AI prose against the text it may have learned from

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x.com
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Ai2@allen_ai
Thread · 6 parts

When a model writes, where do its words come from? Are they new, or do they match exactly with language it saw in training? An AI-writing detector can't tell you. @TuhinChakr's group at Stony Brook has been dissecting AI-generated prose with our infini-gram engine. 🧵

@TuhinChakr AI-writing detectors return a likelihood score. They can't show which expressions also appear in existing sources, or where. Our infini-gram engine indexes massive public text datasets & counts how often a phrase of any length appears across them.

@TuhinChakr Chakrabarty's group ran the story at the center of the GrantaGate controversy, which readers flagged as machine-written, through infini-gram. Distinctive fragments turned up in writing already online—particularly on a fan fiction site.

@TuhinChakr In a recently published study, the group scaled the method to books. To tell distinctive phrasing from stock lines like "her heart skipped a beat," they counted only phrases that show up in five books or fewer on Google Books & nowhere on the web infini-gram has indexed.

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Context

Ai2's infini-gram gives investigators a way to examine shared wording in AI-generated prose. It searches indexed text collections for exact phrases and counts their occurrences, making it possible to inspect which expressions appear elsewhere. An AI-writing detector instead estimates whether a passage was machine-generated. As Ai2's account of the research explains, phrase matches provide circumstantial textual evidence to investigate, but do not by themselves prove who originated the wording or how it entered a model's output.

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