Tag: De Montfort University

The Lecturers Learning to Spot AI Misconduct

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Four serious and focused lecturers/academics (two men, two women) are gathered around a table in a dimly lit, high-tech setting. They are looking at a large, glowing blue holographic screen that displays complex text, code, and highlights, with the prominent title "AI MISCONDUCT DETECTION." The screen shows an example of potentially AI-generated text with highlighted sections. Two individuals are actively pointing at the screen, while others are taking notes on laptops and paper. Surrounding the main screen are smaller holographic icons representing documents and a magnifying glass, symbolizing investigation and analysis. Image (and typos) generated by Nano Banana.
As AI tools become more sophisticated, the challenge of maintaining academic integrity intensifies. This image depicts lecturers undergoing specialised training to hone their skills in identifying AI-generated misconduct, ensuring fairness and originality in student work. Image (and typos) generated by Nano Banana.

Source

BBC News

Summary

Academics at De Montfort University (DMU) in Leicester are receiving specialist training to identify when students misuse artificial intelligence in coursework. The initiative, led by Dr Abiodun Egbetokun and supported by the university’s new AI policy, seeks to balance ethical AI use with maintaining academic integrity. Lecturers are being taught to spot linguistic “markers” of AI generation, such as repetitive phrasing or Americanised language, though experts acknowledge that detection is becoming increasingly difficult. DMU encourages students to use AI tools to support critical thinking and research, but presenting AI-generated work as one’s own constitutes misconduct. Staff also highlight the flaws of AI detection software, which has produced false positives, prompting calls for education over punishment. Students, meanwhile, recognise both the value and ethical boundaries of AI in their studies and future professions.

Key Points

  • DMU lecturers are being trained to recognise signs of AI misuse in student work.
  • The university’s policy allows ethical AI use for learning support but bans misrepresentation.
  • Detection focuses on linguistic patterns rather than unreliable software tools.
  • Staff warn that false accusations can harm students as much as confirmed misconduct.
  • Educators stress fostering AI literacy and integrity rather than “catching out” students.
  • Students value AI for translation, study support, and clinical applications but accept clear ethical limits.

Keywords

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URL

https://www.bbc.com/news/articles/c2kn3gn8vl9o

Summary generated by ChatGPT 5

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