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AI Models Show Bias Based on Author's IdentityCEFR A1

25 Nov 2025

Adapted from U. Zurich, Futurity CC BY 4.0

Photo by Siora Photography, Unsplash

AI-assisted adaptation of the original article, simplified for language learners.

  • AI systems change how they judge texts.
  • They can be biased against authors from China.
  • LLMs can write and evaluate text, like essays.
  • Some people worry about their fairness.
  • Researchers studied four LLMs.
  • They found biases when they knew the author's nationality.
  • AI trusted human authors more than AI authors.

Difficult words

  • biasTo think unfairly about someone or something.
    biased, biases
  • evaluateTo judge or assess something.
  • fairnessThe quality of being just and impartial.
  • nationalityThe state of being a citizen of a country.
  • researcherA person who studies a topic carefully.
    Researchers
  • authorA person who writes a text.
    authors, author's

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • Why do you think AI can be biased?
  • How important is it for AI to be fair?
  • What do you think about AI judging texts?

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