AI Detection in Academia: How Indian Universities Can Safeguard Academic Integrity †

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Abstract

In recent times, the use of Artificial Intelligence (AI) technologies like ChatGPT-4o within the education sector has become an undisputed fact. AI has transformed the education sector, offering tools that enhance student research and writing. However, the use of AI raises concerns with respect to academic integrity, originality, and authenticity. Indian Universities regulate traditional plagiarism with anti-plagiarism detection systems. Some Indian Universities have also subscribed to AI plagiarism detection systems, but not all of them have subscribed to AI plagiarism detection. The majority of Indian Universities are not sufficiently prepared to identify AI-generated content that is contextually relevant and original, thus bypassing these traditional checks. This study stresses the urgent need for the University Grants Commission (UGC) to introduce advanced AI detection systems across Indian universities. Unlike regular plagiarism checkers, these tools can identify unique writing patterns that suggest AI-generated content. Without such measures, universities risk students using AI to complete assignments and research dishonestly. Through this research, the authors will examine the ethical concerns surrounding AI in academia and highlight the importance of clear guidelines to ensure responsible use. Colleges and universities need proper policies to regulate AI-generated work in student submissions. This study will compare how India and other countries handle AI detection in education, elaborating on the challenges of dealing with AI-generated content. The paper will propose a structured framework for Indian universities, including the use of AI detection tools, ethical guidelines, and awareness programmes to help students use AI responsibly while maintaining academic integrity in a changing educational system.

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APA

Gupta, A., Mahaseth, H., & Bajpai, A. (2025). AI Detection in Academia: How Indian Universities Can Safeguard Academic Integrity †. Engineering Proceedings, 107(1). https://doi.org/10.3390/engproc2025107026

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