Plagiarism, Theft, and Truth: Understanding Academic Integrity as a Way of Knowing

Authors

  • Jonathan Faerber University of Alberta

DOI:

https://doi.org/10.55016/ojs/cpai.v9i1/80357

Keywords:

plagiarism, artificial intelligence, academic integrity, code of ethics, academic ethics, student conduct, educational policy, Canada

Abstract

Universities have historically used moral rhetoric to describe and discourage plagiarism involving human authors, specifically by comparing or defining plagiarism as a form of theft. However, some forms of contemporary plagiarism involve artificial intelligence rather than human intelligence alone, and the absence of interpersonal moral harms in such cases arguably poses a problem for historical descriptions and definitions of plagiarism. After summarizing arguments against historical definitions of plagiarism, I suggest that new forms of plagiarism also transcend these moral comparisons and definitions. Ultimately, I propose a non-moral model of academic integrity that can better support policy decisions and academic conversations about plagiarism, especially in response to the recent emergence of generative artificial intelligence in student writing.

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Published

2026-03-03

Issue

Section

Position Papers