ChatGPT giving advice on how to cheat in university assignments—how workable are its suggestions?

Abstract

<title>Abstract</title> The generative artificial intelligence (AI) language model ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people. By setting up user-created role-plays designed to alter ChatGPT’s persona, ChatGPT can be prompted to answer with inverted moral valence supplying unethical answers. In this inverted moral valence mode ChatGPT was asked to provide suggestions on how to avoid being detected when commissioning and submitting contract written assignments. We conducted 30 iterations of the task, we examine the types of the suggested strategies and their likelihood of avoiding detection by markers, or, if detected, escaping a successful investigation of academic misconduct. Suggestions made by ChatGPT ranged from communications with contract writers and the general use of contract writing services to content blending and innovative distraction techniques. While the majority of suggested strategies has a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. We conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not. In some cases the advice given would actually decrease probability of remaining undetected.

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