Abstract : The rapid development of AI tools, especially generative models such as ChatGPT, has transformed academic practices and has opened up serious issues around academic integrity. These tools provide an unparalleled service to learning and pedagogy, facilitating the abuse of academic integrity, plagiarism, lack of authorship, abuse in students’ assignments without paying the due effort. These challenges undermine the integrity of assessment and trust in higher education. This chapter addresses emerging threats posed by AI and considers how institutions are putting processes in place to protect fairness, accuracy, and good practice. It explores trending global policy changes, legal definitions and technical identification methods – including AI content recognisers – to counteract integrity infringements. It covers novel assessment methods as well, such as oral examination, real-world projects, and AI based methods that lead to transparency. In this way the chapter provides a fair approach for responsibly and usefully integrating AI in education, benefitting from its capabilities without sacrificing honesty and academic integrity.
Cite : Niranjan, P. S. (2025). Academic Integrity In The Age of Ai: Plagiarism, Chatgpt, and the Future of Assessment (1st Ed., Pp. 107-117). Noble Science Press. Https://Noblesciencepress.Org/Chapter/Nspebaardamgp2025ch-11
References :
Alsharefeen, R., & Al Sayari, N. (2025). Examining academic integrity policy and practice in the era of AI: A case study of faculty perspectives. International Journal for Educational Integrity. , DOI: 10.3389/feduc.2025.1621743
Balalle, H. (2025). Reassessing academic integrity in the age of AI: A systematic literature review. Education and Information Technologies. , DOI: 10.1016/j.edut.2025.101234
Bettayeb, A. M., Abu Talib, M., Altayasinah, A. Z. S., & Dakalbab, F. (2024). Exploring the impact of ChatGPT: Conversational AI in education. Frontiers in Education, 9, DOI: 10.3389/feduc.2024.1379796
Leelavathi, R. (2024). ChatGPT in the classroom: Navigating the generative AI wave in management education. Journal of Research in Innovative Teaching. DOI: 10.1108/jrit-01-2024-0017
Setu, D. M. (2025). A comprehensive strategy for identifying plagiarism in higher education using transformer-based models. Journal of Educational Computing Research. DOI: 10.1007/s43995-025-00108-1
Stracke, C. M. (2025). Analysis of artificial intelligence policies for higher education: Ethical considerations and emerging directions. International Journal of Interactive Multimedia and Artificial Intelligence, 9, DOI: 10.9781/ijimai.2025.02.013
UNESCO. (2025). AI and education: Guidance for policymakers. United Nations Educational, Scientific and Cultural Organization. https://www.unesco.org/en/articles/ai-and-education-guidance-policy-makers
Wang, J. (2025). The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: A meta-analysis. Humanities and Social Sciences Communications, 12 DOI: 10.1038/s41599-025-04787-y
Wang, S. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 202, DOI: 10.1016/j.eswa.2023.117443