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Integration of Generative Artificial Intelligence (GAI) in Academic and Engineering Sectors to Enhance Employee Productivity
AlNaqbi, Humaid Abdalla
AlNaqbi, Humaid Abdalla
Description
A Master of Science thesis in Engineering Systems Management by Humaid Abdalla Al Naqbi entitled, “Integration of Generative Artificial Intelligence (GAI) in Academic and Engineering Sectors to Enhance Employee Productivity”, submitted in August 2024. Thesis advisor is Dr. Zied Bahroun and thesis co-advisor is Dr. Vian Ahmed. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
Abstract
Over the last several decades, the globe has seen remarkable growth in science and technology, which has resulted in fundamental advancements in a variety of areas and disciplines. This growth highlights the importance of artificial intelligence in human history, as it opens new horizons for leveraging advanced programs and technologies to enhance and increase organizational performance in a sustainable manner. However, despite this significant progress, there is still a research gap in the applications of Generative AI (GAI) in engineering and academic disciplines, as the challenges and opportunities associated with these fields have not been adequately studied. This study aims to fill this gap by investigating how GAI applications can be integrated to enhance productivity among students and faculty in the academic and engineering disciplines, which are vital sectors for the development of technological innovations. The research also addresses how to adopt this technology in a responsible and ethical manner, especially in these two important sectors. The study also included interviews and semi-structured surveys with faculty and students at a prestigious institution to explore their experiences, attitudes, and expectations regarding the use of Generative AI. Analyzing the data using the Relative Importance Index (RII) method, the results showed that compliance standards to mitigate bias were a top concern among faculty members, a point that was also confirmed by students. This study provides an important basis for future research aimed at guiding educational institutions towards effective and sustainable implementation of this technology.