\n<\/p>\n
This is <\/em>The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more news about how AI is changing our daily lives, follow <\/em>Emma Roth<\/em>. <\/em>The Stepback arrives in our subscribers\u2019 inboxes at 8AM ET. Opt in for <\/em>The Stepback here<\/em>.<\/em><\/p>\n Long before ChatGPT became a thing, educators and editors frequently used anti-plagiarism tools to see if writers were being honest about their work. These tools work by comparing a written work against a database filled with content from across the web, scholarly articles, and more to check for matching sentences and phrases. Some, like Turnitin, offer a percentage that claims to illustrate how much of the student\u2019s writing overlaps with other works. Between potential false positives and uncertainty about whether work was duplicated intentionally, some educators have backed away from using that particular tool.<\/p>\n But now, the hunt for copied content is evolving into a war on AI-generated work. As quickly as students have picked up ChatGPT, Google Gemini, and Microsoft Copilot, teachers have adopted so-called AI detectors just as fast. A survey from the Center for Democracy and Technology found that 43 percent of sixth to 12th grade teachers in the US regularly used AI detectors between 2024 and 2025. Some universities already using Turnitin in their learning management systems found that the service automatically enabled AI detection when the tool launched in 2023.<\/p>\n Instead of comparing pieces of written content, AI detectors like GPTZero, Pangram, and the one created by Turnitin rely on their own AI models to guess whether something might not be human-written \u2014 a process that\u2019s arguably even murkier than matching text on the web. As noted by GPTZero, AI detectors use an algorithm to analyze a text\u2019s wording, rhythm, and structure, as well as to pick up on patterns in length and tone that may be more common in AI-written text. This relatively subjective evaluation isn\u2019t as solid as something you could back up by matching text online, and can get tripped up by writers who speak English as a second language. Despite this, Turnitin has said that its AI detector falsely flags less than 1 percent of human-written content as AI, while Pangram claims its false positive rate is just 1 in 10,000. GPTZero claims it has a similarly low rate of mistaking human content for AI.<\/p>\n People online are already accusing each other of \u201csounding like AI,\u201d but the ready availability of AI detection tools is only adding fuel to the LLM witch hunt. In some high-profile cases, AI writing accusations have directly impacted people\u2019s livelihoods and reputations. Last month, the publisher Minotaur dropped a $2 million book deal over concerns that its author, Jerry Falade, used AI \u2014 something he vehemently denies.<\/p>\n There\u2019s Thierry Rignol, a French national who sued Yale last year after a professor accused him of writing portions of his final exam with AI, resulting in a failing grade and a one-year suspension. The professor used GPTZero to scan Rignol\u2019s writing for signs of AI, but the lawsuit argues that \u201cAI surveillance and detection tools are known to unfairly target non-native English speakers\u201d like Rignol. In February, a student at Adelphi University won a lawsuit against the school after his professor similarly claimed he used AI to write an essay. Though the lawsuit doesn\u2019t say which AI tool the professor used to examine the student\u2019s essay, Adelphi University has a licensing agreement with Turnitin.<\/p>\n A 2023 Stanford study found that AI detectors falsely flagged essays written by non-native English speakers as AI more often than native speakers. (Many services still argue that their tools are accurate when dealing with text written by non-native speakers.) These tools may also be biased against neurodivergent writers.<\/p>\n As pointed out by the University of California, Los Angeles, AI detection tools are trained to pick up on patterns that could indicate AI use, such as repetitive terms and phrases, text that sounds too formal or informal, and nonsensical phrasing. Some, like QuillBot, also measure the \u201cunpredictability\u201d of text, as \u201cAI tends to make the most \u2018obvious\u2019 or most common language choices as compared with human-produced writing,\u201d according to UCLA. They may also look for sentence structure that remains the same throughout as another sign of AI. But these measurements aren\u2019t indicative of AI on their own, as some people may just have a writing style with these qualities.<\/p>\n Even though Turnitin touts low false positive rates, it maintains that its tool \u201cmay not always be accurate\u201d and shouldn\u2019t be used to take actions against a student. Grammarly warns that users \u201cshould never rely on the results of an AI detector alone,\u201d while GPTZero says \u201cno AI detector can ever truly be 100% perfect.\u201d OpenAI even shut down its own AI writing detector in 2023 due to low accuracy.<\/p>\n But AI writing accusations are still being flung across the web. Last week, in a video broadcast to the more than 3.5 million followers across his social channels, Ozzy Osbourne\u2019s son, Jack, accused journalist and Verge<\/em> contributor Kat Tenbarge of using AI to write an article for Rolling Stone<\/em>, while flaunting the results from an AI detector, Getsolved, as \u201cproof\u201d of his claim. Tenbarge has refuted the claim in a video and a post on her website, but Osbourne hasn\u2019t retracted his accusation or deleted the video, leaving Tenbarge to deal with the trolls.<\/p>\n There are numerous examples of false accusations, from writers to students, with many accusers failing to acknowledge the disclaimers that come along with some of these AI detection tools.<\/p>\n The uncertainty surrounding AI detectors is enough for some educational institutions to stop using them altogether. Yale University, Johns Hopkins University, Vanderbilt University, Georgetown University, and others have disabled or restricted the use of AI detection tools. The Massachusetts Institute of Technology also warns that \u201cAI detectors don\u2019t work.\u201d<\/p>\n Instead of relying on tools to weed out AI, many schools are encouraging educators to rethink their lessons. The University of Chicago, for example, suggests telling students to slow down their reading, breaking up longer writing assignments, and requiring students to reflect on their work. Stanford University says professors can consider holding assessments in classrooms, while MIT advises professors to leave room for students to disclose whether they used AI for help on an assignment, without penalty.<\/p>\n With AI becoming more prevalent in and outside the classroom, efforts to suss out what\u2019s written by a human or a machine are ramping up as well. Some online platforms are only exacerbating suspicions surrounding AI use. Substack has built Pangram into its app, allowing users to scan blogs for suspected AI-generated content, while LinkedIn added a \u201cseems like AI slop\u201d button on posts. The result is a new era of distrust, where readers constantly question whether what they\u2019re reading is AI and real human writers try their best not to sound like it.<\/p>\n Follow topics and authors<\/strong> from this story to see more like this in your personalized homepage feed and to receive email updates.<\/span><\/p>\n\n
\n
\n