The Extent of Knowledge Among Faculty Members at Jordanian Universities Regarding Principles of AI Ethics in Scientific Research and Its Guidelines

Abstract

Objectives: Objectives: This study aims to explore the extent of knowledge among faculty members at Jordanian universities regarding the principles of AI ethics in scientific research and its regulatory guidelines, in alignment with SDG 4: Quality Education to promote inclusive and equitable education and lifelong learning opportunities. Theoretical Framework: The study is based on the ethical principles of artificial intelligence, emphasizing key dimensions such as data reliability and integrity, privacy and security, human and socio-cultural benefits, and the ethics of integrity, fairness, justice, responsibility, and transparency. These dimensions were used as the basis for designing the study instrument. Method: A descriptive survey methodology was employed. The researchers developed a questionnaire consisting of 40 items, distributed across four domains: (1) data reliability and integrity, (2) privacy, security, and protection, (3) human and socio-cultural benefits, and (4) ethics of integrity, fairness, justice, responsibility, and transparency. The instrument was administered to a randomly selected sample of 245 faculty members across various Jordanian universities. Results and Discussion: The results revealed a high level of knowledge among faculty members regarding the principles and guidelines of AI ethics in scientific research. Moreover, no statistically significant differences were found in participants' responses based on variables such as college affiliation, teaching experience, academic rank, or source of academic degree. The discussion elaborates on these findings, emphasizing their significance in enhancing ethical research practices involving AI. Research Implications: The study highlights the importance of incorporating AI ethics education into faculty development programs and strengthening institutional guidelines to uphold ethical standards in scientific research. Originality/Value: This research fills a gap in understanding the level of AI ethics knowledge among faculty members at Jordanian universities, providing actionable insights to advance ethical AI use in academic research.

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