Revealed: Thousands of UK university students caught cheating using AI | Higher education | The Guardian
Guardian investigation finds almost 7,000 proven cases of cheating – and experts says these are tip of the iceberg
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Ajouté le
8 mars 2026
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Public
parent
Niveaux scolaires
12e année (Terminale)–12e année (Terminale)
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Article
Introduction
UK University AI Cheating Investigation
- Rising AI Misconduct: Proven cases of AI-assisted cheating in UK universities rose from 1.6 per 1,000 students in 2022-23 to 5.1 per 1,000 in 2023-24. Projections for the current year suggest a further increase to 7.5 per 1,000.
- Decline in Traditional Plagiarism: As AI misuse has grown, traditional plagiarism rates have fallen, dropping from 19 per 1,000 students in 2022-23 to 15.2 in 2023-24.
- The "Tip of the Iceberg": Experts warn that recorded cases significantly underrepresent the actual scale of AI cheating. A University of Reading study found that AI-generated work went undetected 94% of the time.
- Detection Challenges: Unlike traditional plagiarism, AI-generated content is notoriously difficult to prove. Many universities (over 27% of those surveyed) do not yet track AI misuse as a distinct category of academic misconduct.
- Student Usage: A Higher Education Policy Institute survey found that 88% of students use AI for assessments. Students report using these tools for brainstorming, structuring, and supporting learning difficulties (e.g., dyslexia), rather than just direct copying.
- Evasion Tactics: Students are increasingly using "humanising" tools and paraphrasing software to bypass university AI detectors.
- Sector Response:
- Universities are struggling to adapt assessment methods to a post-AI landscape.
- Experts suggest moving away from rote learning toward assessing skills that AI cannot easily replicate, such as communication and interpersonal skills.
- There is a debate regarding the feasibility of returning to in-person, exam-based assessments.
- Methodology: The Guardian surveyed 155 UK universities via Freedom of Information requests; 131 provided data.
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