'The disguise becomes part of the answer key': Researchers find that AI is redefining what human writing means by self-correcting itself

AI-shaped vocabulary is becoming harder to separate from ordinary human writing The analysis found a sevenfold rise in AI-associated vocabulary use Rewritten AI text can enter published research under human authorship Fırat Mıhcı, a computational linguist and founder of HumanizeMy.ai, argues that AI

<![CDATA[ <article> <ul><li><strong>AI-shaped vocabulary is becoming harder to separate from ordinary human writing</strong></li><li><strong>The analysis found a sevenfold rise in AI-associated vocabulary use</strong></li><li><strong>Rewritten AI text can enter published research under human authorship</strong></li></ul><p>Fırat Mıhcı, a computational linguist and founder of HumanizeMy.ai, argues that AI can correct its own writing style until common detection signals disappear entirely.</p><p>The analysis claims that a second AI model can rewrite an original AI draft until identifying traits become far less visible to reviewers.</p><p>Once a human editor approves that rewritten draft, it gets published under a real name instead of being labelled as machine-generated.</p><h2 id="a-study-of-nearly-19-000-abstracts">A study of nearly 19,000 abstracts</h2><p>The study behind this claim examined 18,989 abstracts spanning three separate academic fields, published across the years 2019 through 2026.</p><p>The analysis compares word frequency trends before and after the release of widely used AI writing tools in late 2022.</p><p>In computational linguistics, AI-associated word use rose from 1.9 to 14.0 instances per 10,000 words after late 2022, roughly a seven-times increase.</p><p>Neuroscience abstracts showed a similar pattern, climbing from 1.7 to 8.7 instances per 10,000 words, close to a five-times increase.</p><p>Mathematics abstracts barely changed, moving only from 0.9 to 1.3 instances, which researchers treated as a control group for comparison.</p><p>The study noted that overlapping confidence ranges in mathematics made the small increase statistically indistinguishable from no change at all over the full study period.</p><p>One tracked term, "delve," showed up in 2.75% of surveyed abstracts during 2024 before falling to just 0.12% within an incomplete 2026 data set.</p><h2 id="a-feedback-loop-that-confuses-detectors">A feedback loop that confuses detectors</h2><p>Mıhcı shared the findings as an open study meant to expose a blind spot in current AI detection methods used across many academic publishers today.</p><p>According to the study, this pattern creates a cycle in which AI wording gradually becomes accepted as ordinary human vocabulary.</p><p>Detection tools trained on older writing samples risk falsely flagging real authors whose natural vocabulary now resembles AI-generated text more closely than before.</p><p><a href="https://www.techradar.com/best/best-ai-tools">AI tools</a> trained on newer papers instead risk absorbing AI-influenced writing as a normal baseline, making future AI text harder to catch.</p><p>Words such as "intricate," "showcase," and "nuanced" were also tracked, alongside "underscore," a term commonly linked to AI-generated phrasing.</p><p>Editors and publishers reviewing these abstracts reportedly did not indicate that the wording carried any artificial origin before the manuscripts were accepted for publication.</p><p>"AI only needs its rewritten output to be accepted once as human. After that, the disguise becomes part of the answer key," said Fırat Mıhcı</p><p>The research does not claim every abstract containing these words was written by artificial intelligence rather than a human author.</p><p>It instead argues that AI-associated language has entered published writing in ways that make word-based detection increasingly unreliable over time.</p><p>Because the 2026 sample remains partial, the reported decline in words like "delve" may still shift once more data arrives.</p><p>If AI-shaped phrasing keeps entering the published record undetected, the very baseline used to define human writing may keep moving.</p><p>This pattern raises significant questions for any field relying on writing style alone to separate human output from machine output.</p><figure class="van-image-figure inline-layout" data-bordeaux-image-check ><div class='image-full-width-wrapper'><div class='image-widthsetter' style="max-width:676px;"><p class="vanilla-image-block" style="padding-top:31.51%;"><img id="diM9tpwF2Lz85R8q85CT78" name="tr-g_news" alt="Google logo on a black background next to text reading 'Click to follow TechRadar'" src="https://cdn.mos.cms.futurecdn.net/diM9tpwF2Lz85R8q85CT78.jpg" mos="" align="middle" fullscreen="" width="676" height="213" attribution="" endorsement="" class="inline"></p></div></div></figure> </article> ]]>