Journal of Business and Technical Communication Jul 2024

Comparing Student and Writing Instructor Perceptions of Academic Dishonesty When Collaborators Are Artificial Intelligence or Human

John R. Gallagher ; Kyle Wagner University of Findlay

Abstract

It remains unclear if perceptions of academic dishonesty concerning artificial intelligence writing technologies (AIWTs) present new challenges or if they reflect prior, non-AI concerns. To structure this problem, we used a randomized control survey experiment. We compared student ( n = 603) and instructor ( n = 312) attitudes toward dishonesty in collaborations involving humans versus AIWT in 10 writing-related scenarios. Results suggest similar perception patterns among students and instructors, with both populations expressing significant differences in perceived dishonesty between AI and human collaborators in some scenarios. This experiment structures the problem of AI writing and academic dishonesty for future research in this emerging field.

Journal
Journal of Business and Technical Communication
Published
2024-07-01
DOI
10.1177/10506519241239937
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Open Access
Closed
Topics
artificial intelligence
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Citation Context

Cited by in this index (7)

  1. Reifman (2026)
    Categorizing Human Identity in Writing Research: A Case for Participant Self-Id…
    Written Communication
  2. Mallette et al. (2026)
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  3. Getto et al. (2026)
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  4. Saeli et al. (2026)
    Parallel Surveys of GenAI and Writing: Students’ Perspectives and Instructors’ …
    Written Communication
  5. Aguilar (2026)
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Show all 7 →
  1. Gallagher et al. (2025)
    When collaborating turns into dishonesty: A data-driven heuristic comparing hum…
    Computers and Composition
  2. DeJeu et al. (2025)
    “Don’t Ban, Teach”: Two Pilot Studies on AI Instruction in Business Communication
    Business and Professional Communication Quarterly

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