Cited by 8Academic integrity and plagiarismArtificial Intelligence in EducationAuthorship Attribution and Profiling

Non-English academics face inequality via AI-generated essays and countermeasure tools

Wee, Hin Boo, Reimer, James D·2023·BioScience

Abstract

The recent introduction of ChatGPT by OpenAI has broadly introduced artificially intelligent (AI) tools as writing aids to the general public. We examined the limits of available detection tools in identifying writing that was fully aided by AI. Short essays (fewer than 400 words) were written by humans in two languages (English, Malay) or were procedurally generated with ChatGPT in four languages (English, Malay, Mandarin, Japanese). Malay, Mandarin, and Japanese essays were translated into English and paraphrased using a paraphrasing tool. All of the essays were then examined with three AI-detection tools available online. All of the English essays generated with the aid of AI were flagged as AI generated, including the AI-translated or paraphrased, non-English, human-written essays. This raises serious concerns for the academic world, especially non-English academics, in clarifying the differences between AI-generated and AI-aided essays in new policies. Blanket policies completely banning all AI tools may put nonnative English speakers at a disadvantage.

Integrity signals

Registry

Crossref · 10.1093/biosci/biad034

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Non-native English speakers face a structural inequality that operates prior to and independent of any individual detection event: they must already navigate higher barriers in English-medium academic environments.

    “they must already navigate higher barriers in English-medium academic environments”

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 6 · Cited by 8

Authors
Wee, H. B., & Reimer, J. D.
Affiliations
  • National University of Malaysia (MY)
  • University of the Ryukyus (JP)
Venue
BioScience
Published
2023-04-29
Volume
73
Issue
7
Pages
476-478
ISSN
  • 0006-3568 (ISSN-L)
  • 1525-3244
OpenAlex
W4367395734
Cited by
8
References
6
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2023: 2
FWCI
2.01
Type
journal article
Language
en
Open access
closed
Locations
BioScience (publishedVersion)
Topics
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
Keywords
AI-generated text detection, ChatGPT, non-native English speakers, educational inequity, AI detection tools, machine translation, language barriers in science

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review