Unethical Academic Practices through Ethical Tools
Generative Artificial Intelligence (Gen-AI) tools have changed the course of academic teaching and learning practices, particularly, the way of writing assessment and scholarly reports. Although the use of Artificial Intelligence based tools or similar systems is not new to academia, advanced Gen-AI tools such as Chat-GPT has opened a new path for academic misconduct. The use of Gen-AI tools forced academic institutions to adapt new policies around the use of AI generated content in assessments and research. Reputed plagiarism checking tools like Turnitin has provided AI detection mechanisms with little success, due to inconsistency in the results attributed to the quality of detection algorithms. Tools like ZeroGPT, Originality.ai, GPTZero, etc., are exclusively developed for detecting AI generated content. However, at present, some Gen-AI based companies like StealthAI, AIHumanizer etc., are offering services that can be used to evade detection tools for plagiarism. These services use advanced algorithms and techniques to identify patterns and rewrite the content to mimic human styled text. This posed serious challenges in identifying academic misconduct. This research explores various tools that learners use or can be used in assessments and research that can evade AI and plagiarism detection. A list of 6 reputed tools like StealthAI, AIHumanizer, ByPassGPT are reviewed to identify how these tools evade AI detection. The problem of academic misconduct is critically evaluated using literature, and the practical implications of misconduct are presented. As this ongoing research is closely aligned with learner abilities, the impact of Gen-AI is presented through the lenses of learners.
Authors
- Ushik Shrestha Khwakhali (ORCID: https://orcid.org/0000-0002-8453-7926)
- Sreenivas Sremath Tirumala (ORCID: https://orcid.org/0000-0002-8479-4359)
Institutions
- RMIT Vietnam (VN)
Publication Details
- Published
- 2025-07-30
- DOI
- https://doi.org/10.1109/istem-ed65612.2025.11129384
- Primary Topic
- Ethics in medical practice
- Type
- article
- Field-Weighted Citation Impact
- 0.00