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The research focuses on transparency and education related to artificial intelligence (AI) in higher education, as well as how these factors affect student and academic staff acceptance of technology. The main objective of this study is to explore users' views and attitudes towards the use of AI, with a special emphasis on ethical and practical aspects. This study uses a mixed approach, combining quantitative surveys and qualitative interviews conducted at Superior University, Lahore, Pakistan. Quantitative data were analyzed using descriptive and inferential statistics, while thematic methods analyzed qualitative data. The study results showed that 75.2% of respondents supported education and transparency related to AI. 54.7% of respondents expressed concern that AI could threaten academic integrity if not used transparently and fairly. However, 45.3% of respondents see AI as an effective tool to detect plagiarism and improve academic supervision. The implications of this study underscore the importance of comprehensive education and transparency policies to ensure the ethical and practical use of AI in higher education. This research provides an empirical foundation for developing policies that can increase trust and acceptance of AI in academic contexts.
Sain et al. (Tue,) studied this question.