Precision of academic plagiarism detection: A descriptive analysis of Artificial Intelligence verifiers

Abstract

Some authors argue that the use of Artificial Intelligence (AI) should be considered plagiarism and have proposed the use of verifier tools to combat this type of plagiarism. Among these Artificial Intelligences is ChatGPT, which has revolutionized the world with its ability to produce human-like text. The purpose of this work is to identify the level of accuracy in detecting plagiarism using Artificial Intelligence detection tools in literature writing. Fifty samples of books written and published before November 2022 were collected, and ChatGPT was asked to generate another 50 literature samples from different genres. The original human and AI-generated content were analyzed using four plagiarism detection tools, which were moderately successful in identifying human content but had varying degrees of effectiveness in detecting AI-generated content. Copy Leaks scored 99% on the F-score, Content at Scale 79%, Scribber 25%, and ZeroGPT 69%. This paper has an explanatory approach with a cross-sectional design, with quantitative analysis of the data collected. ChatGPT as the potential to displace human writers and the use of these AI verifiers can aid schools and editorial houses to distinguish original human content and that generated by IA. We exhort AI verifiers to improve their algorithms used to identify plagiarism, and for schools to incorporate these types of tools in the design of strategic pedagogies for future papers.

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