• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
Technology

The campus divide over AI detectors and proof of cheating

The Atlantic reports that an MIT working group advised against relying on AI detectors. Turnitin tells the magazine its results should start a conversation, not serve as hard evidence of wrongdoing.

Marc WatkinsMW
1 Source, 20d ago, first seen 20d ago

TLDR

A UW–Madison biology professor told The Atlantic he planned to scrap writing assignments: students had learned to remove his hidden chatbot-catching prompts, and university guidance discouraged relying on detectors alone.

The magazine cites a University of Chicago working paper that found Pangram essentially never mistook long human-written passages for AI, though it occasionally errs on shorter snippets. It also describes a Notre Dame study that found “humanizer” tools could fool an older version; Pangram says its latest model is more robust against them.

Separately, The Dartmouth reports that nine of Provost Santiago Schnell’s works published in 2026 received a median “AI-written” text percentage of 96% from Pangram. Schnell told the paper he uses AI for language refinement and editing, but reviews the final text and takes responsibility for its content. He said a detector’s classification is not a determination of authorship.

Combined views

853

1 Source, first seen 20d ago

17 likes3 comments7 saves3 reposts

Combined views

853

1 Source, first seen 20d ago

17 likes3 comments7 saves3 reposts

Colleges are still looking for a way to respond to AI-assisted cheating without turning a detector score into a verdict. A recent Atlantic report describes that tension as newer tools reach classrooms while faculty remain divided over whether they can fairly prove misconduct.

Featured Source

An MIT working group on AI in education recommended against relying on AI detectors, warning that they can create an atmosphere of distrust between instructors and students, The Atlantic reports. That does not make the classroom problem disappear: instructors quoted by the magazine described pressure to catch work produced with chatbots, even as students learn to remove hidden prompts or use tools intended to make AI-written text look more human.

Turnitin is the most common detector in North American higher education, according to the report. Its chief product officer told The Atlantic that a result should begin a conversation rather than act as hard evidence of wrongdoing. The company says its detector is tuned to favor students when uncertain; its reported error rates are company claims, not an independent finding in the article.

The practical problem is not only accuracy. The report describes detector and “humanizer” tools as an arms race, while educators also weigh privacy rules and the consequences of false accusations. Some institutions are moving toward assignments that show a student’s process and reasoning instead of treating automated classification as proof.

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

3 Sources

Op-eds, academic articles by Provost Santiago Schnell flagged as ‘AI-written’ by ‘near-zero error’ AI detector Pangram - The DartmouthOp-eds, academic articles by Provost Santiago Schnell flagged as ‘AI-written’ by ‘near-zero error’ AI detector Pangram21d
The AtlanticThe Pangram Backlash Unfolding on College Campuses20d
Marc Watkins@Marc__WatkinsThe AI detection arms race has been revitalized because of classifiers like Pangram. I was happy to sit down and discuss the current issues faculty face re detection with @WillOremus. I think we should be focused more on assessment redesign than relying on detection.20d
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    3 Sources

    Op-eds, academic articles by Provost Santiago Schnell flagged as ‘AI-written’ by ‘near-zero error’ AI detector Pangram - The DartmouthOp-eds, academic articles by Provost Santiago Schnell flagged as ‘AI-written’ by ‘near-zero error’ AI detector Pangram21d
    The AtlanticThe Pangram Backlash Unfolding on College Campuses20d
    Marc Watkins@Marc__WatkinsThe AI detection arms race has been revitalized because of classifiers like Pangram. I was happy to sit down and discuss the current issues faculty face re detection with @WillOremus. I think we should be focused more on assessment redesign than relying on detection.20d
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet