Academics define the limits of using "Artificial Intelligence" in university research and education
Amman3 min read
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The uses of artificial intelligence technologies are at the forefront of academic and university institutions, amidst an intense scientific debate among experts and professors who see it as a primary engine for facilitating fieldwork and organizing research efforts, and academic caution that warns against marginalizing the role of the "human mind," which remains a key condition for ensuring scientific acceptance and reliable analysis.
In a survey conducted by "Alrai" newspaper among a number of academics and researchers in various scientific disciplines regarding the limits and levels of their reliance on artificial intelligence tools, estimates and tasks assigned to these technologies varied, ranging between organizational and auxiliary analytical roles at rates fluctuating between 10% and 20%, with a consensus on the necessity of full human supervision.
Dr. Al-Qader: An organizational tool for arranging steps and managing tasks
Dr. Mohammad Al-Qadiri, specializing in statistics, confirmed that the use of artificial intelligence in the academic environment is limited to auxiliary organizational and administrative dimensions, noting that researchers are the ones who steer the compass of work and lay the scientific foundations, while the role of technology is limited to organizing outputs, arranging research steps, and facilitating administrative and practical follow-up without interfering in the intellectual essence.
Prof. Dr. Mashhoor Al-Wardat: The rate of reliance varies according to the type of data and content
For his part, Prof. Dr. Mashhoor Al-Wardat, Professor of Astrophysics at the University of Sharjah and Director of Academic Affairs at the Sharjah Academy for Astronomy, Space Sciences and Technology, explained that the level of reliance on artificial intelligence starts from a limit of 10% in general cases, but this percentage is subject to change and variation based on the nature of the required task, the type of data processed, and the goal of content creation and academic analysis.
Dr. Bawaneh and Dr. Al-Widian: 20% usage rate.. and intelligence is among the essentials
In the same context, both Dr. Mohammad Bawaneh (Professor of Plasma Physics at Yarmouk University) and Dr. Hatem Al-Widian (Professor of Theoretical Physics at Al-al-Bayt University) indicated that the rate of reliance of faculty members on artificial intelligence currently ranges at 20%.
Bawaneh and Al-Widian stressed that these technologies have become a primary tool relied upon to save time and effort, shorten routine research processes, and facilitate daily educational and academic tasks.
Dr. Madhavi: Data collection is field-based.. and the human element is crucial to prevent research rejection
In turn, Dr. Madhavi from Qatar University explained that the scientific data collection phase still relies entirely on field methods and traditional means such as interviews and questionnaires, noting that artificial intelligence plays its role in subsequent stages, such as analyzing big data, detecting patterns, suggesting structures for scientific papers, and generating programming codes (such as in Python via models like Claude) to create graphs.
Dr. Madhavi warned against abandoning human intellectual oversight, saying: "Artificial intelligence is undoubtedly useful, but the human mind stands as a guardian behind everything produced; without it, research papers will remain vulnerable to academic rejection."
