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Your writing was flagged as AI. What does that actually mean?

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Johnston, W. (2026, October 31). Your writing was flagged as AI. What does that actually mean? NPR. https://www.npr.org/2026/10/31/nx-s1-5963520/ai-writing-detectors-pangram

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NPR · collected 2026-10-31 · by Windsor Johnston

Quick Summary

Sally McGraw, a professional nonfiction writer with over 20 years of experience, encountered an unexpected issue when submitting a writing sample for a book proposal: her work was flagged as machine-generated by multiple AI detection tools despite being written entirely by hand. The client confirmed using these detectors but ultimately hired someone else based on factors other than the AI flag. This incident highlights the challenges editors face with increased submissions from AI, leading to potential inaccuracies and mistrust in the writing process. Some editors like Neil Clarke report a doubling of submissions since 2021, necessitating the temporary closure of submission portals due to overwhelming volume.
Written by AI on 2026-10-31, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Ghostwriter Sally McGraw recently faced an unexpected challenge when her writing sample was flagged by multiple artificial intelligence detection tools as machine-generated, despite her having written it entirely on her own. This incident occurred after McGraw submitted a book proposal to a prospective client and received an email alerting her that AI detection tools had raised concerns about the authenticity of her work. Though the client confirmed they screened McGraw's writing for AI involvement, she clarified that this was not the sole reason for choosing another writer; experience and fit played more significant roles. The incident highlights growing concerns in the publishing industry over the potential misuse of AI detection tools, which could unfairly tarnish a human author’s reputation or lead to a loss of reader trust if AI-generated work slips through undetected.

Written for “AI Writing Detection” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 119270 · logged 2026-10-31

Story

📰 AI Writing Detection
Technology · 1 article(s) covering the same event.

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
53
sentences that state something as happening or true
Uncertain
9%
5 of 53 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
60/100
NPR's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-31 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

NPR · 992 article(s) · 3 correction(s) detected
Running correction rate · 3 correction(s)

Who wrote this

Windsor Johnston
2 article(s) here · 1 carrying a prediction
🔮 That could explain what science blogger Janelle Shane encountered in late 2022 when she tested excerpts from her 2019 book about how AI works, You Look Like a Thing and I Love You.
🔮 "They would walk past us and whisper 'Fresh meat,'" Petter said.
Also by Windsor Johnston
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

ChatGPT Clarkesworld Claude Gemini NPR

Subjects

McGraw PERSON · 6× ChatGPT ORG · 1× Clarke ORG · 1× Clarkesworld ORG · 1× Claude ORG · 1× NPR ORG · 1× Neil Clarke PERSON · 1× Pangram ORG · 1× Sally McGraw PERSON · 1× the International Journal for Educational Integrity ORG · 1×

Narrative

"A false positive can cost an author their publishing contract and reputation, and a false negative, when AI-generated work slips through reputable publishing undetected, can cause readers to lose their trust in authors and the industry," the Guild wrote.
framing: assertive · carried by 1 article(s) · first seen 2026-10-31
🔮 That could explain what science blogger Janelle Shane encountered in late 2022 when she tested excerpts from her 2019 book about how AI works, You Look Like a Thing and I Love You.
2026-10-31 · NPR
Your writing was flagged as AI. What does that actually mean? · assertive framing

Claims (53 extracted, 5 hedged)

Your writing was flagged as AI. asserted
writing → flag → AI
What does that actually mean? asserted
that → mean → What
Ghostwriter Sally McGraw was hoping to land a job developing a book proposal for a prospective client. asserted
McGraw → hop → client
But after submitting a writing sample, she got an unexpected response: an email telling her that multiple artificial intelligence detection tools had flagged her work as machine-generated. asserted
tools → submit → work
"I was floored because I had not used AI to generate the text," McGraw said. asserted
McGraw → floor → text
"I'd written it all myself." asserted
I → write → it
Having spent more than 20 years as a professional nonfiction writer, McGraw said she was angry that her work had been dismissed as AI-written. asserted
work → spend → writer
"You know where you see a cartoon character going red from their chin all the way up to the crown of their head? asserted
character → know → head
I felt my ears starting to burn," she said. asserted
she → feel → ?
"I thought, what is going on?" asserted
what → think → ?
McGraw said she assured the client she had written the proposal herself, but decided not to press the issue because she considered the job "minor." asserted
job → say → issue
In an email to NPR, the client confirmed that she had screened McGraw's work for AI. asserted
she → confirm → AI
But she said the results were not the determining factor in choosing to hire a different writer, instead citing experience and fit. asserted
results → say → experience
McGraw says she was paid for her writing samples, but believes the detector results cost her the opportunity to write the full book proposal. asserted
results → say → proposal
As editors struggle to keep up with a growing influx of AI-generated content, some are turning to detection tools to help sift through the mounting number of submissions. asserted
some → struggle → submissions
But these tools aren't perfect: They've been known to falsely flag human-written work as AI, which can leave writers with little idea of what triggered the result and how to prove otherwise. asserted
what → know → result
"Everyone knows that these screeners are not 100% accurate," said McGraw. asserted
McGraw → know → ?
Editors are overwhelmed by AI-written submissions Neil Clarke, publisher and editor of Clarkesworld, says a flood of AI submissions at the science-fiction magazine has put pressure on the editing staff. asserted
flood → overwhelm → staff
In 2021, the publication received roughly 1,100 submissions a month. asserted
publication → receive → submissions
By February 2023, after AI agents like ChatGPT, Claude and Gemini started to become widely available, that number had doubled, forcing Clarke to temporarily close its submission portal. asserted
number → start → portal
He estimates his own workload has increased by about 30%. asserted
workload → estimate → %
"It's introduced an element of mistrust into the process," he said. asserted
he → introduce → process
When AI writing detectors disagree While AI detectors have gotten more sophisticated in recent years, the companies behind the detectors acknowledge that the tools aren't foolproof. asserted
tools → disagree → detectors
Researchers have found that different AI detection tools can reach dramatically different conclusions about the same piece of writing. asserted
tools → find → writing
In a study published in June, in the International Journal for Educational Integrity, researchers compared the accuracy of four widely used detectors. asserted
researchers → publish → detectors
They tested 160 academic papers comprising four different categories: entirely human-written, entirely AI-written, a combination of the two, and AI material rewritten by a human. asserted
They → test → human
Among the four detectors, Pangram was the most consistently accurate, correctly identifying the use of AI in 37 of the 40 papers with the combined text and in 37 of the 40 papers where a human rewrote AI-generated text. asserted
human → identify → text
Pangram CEO Max Spero, in an emailed statement, said his company's detector can make mistakes, particularly when there is not much writing to evaluate. asserted
detector → email → mistakes
Previously published writing can pose an additional problem, says Chris Callison-Burch, a professor of computer and information science at the University of Pennsylvania. asserted
Burch → publish → Pennsylvania
"Many AI detectors work by asking a large language model how predictable a passage is," Callison-Burch said. asserted
Burch → work → model
"The catch is that the language models also tend to find text from their training data unusually predictable." asserted
text → tend → data
That could explain what science blogger Janelle Shane encountered in late 2022 when she tested excerpts from her 2019 book about how AI works, You Look Like a Thing and I Love You. uncertain
I → explain → You
One detector reported a 98.7% confidence that a passage was machine-generated. asserted
passage → report → confidence
"This is a clear, glaring, blinking-light false positive," Shane said. asserted
Shane → glare → ?
"I had written this text myself." asserted
I → write → text
An unpublished draft like McGraw's writing sample wouldn't face that particular problem, Callison-Burch said, but could still be falsely flagged based on patterns in the writing style. uncertain
Burch → face → style
Detectors look for clues in word choice, punctuation and the way sentences are put together. asserted
sentences → look → choice
can trigger an AI-positive result, he said. asserted
he → trigger → result
Callison-Burch says detectors weigh patterns across a whole piece, so an em dash or a particular word alone doesn't necessarily mean that a bot was used. asserted
bot → say → piece
What's at stake for writers The Authors Guild, an organization that advocates for writers' rights, said in May that the use of AI detectors "creates an environment reminiscent of witch hunts," with writers worried about false accusations and how to defend themselves. uncertain
writers → advocate → themselves
…and 13 more, not listed.
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