The Cultural Role of Knowledge Ethics in Supporting the Use of Generative AI Applications in Saudi Universities: A Study from the Perspective of Experts

Hanaa ali Al-Garni

Abstract


In light of technological progress and the knowledge revolution in universities, the cultural role of knowledge ethics has emerged in supporting the use of generative AI applications. Therefore, this scientific paper aims to identify the cultural role of knowledge ethics in supporting the use of generative AI applications mentioned in intellectual production, identify the opinions of experts and their definition of the cultural role of knowledge ethics in supporting the use of generative AI applications in Saudi universities, and present a proposed model for the cultural role of knowledge ethics in supporting the use of generative AI applications. To achieve the study objectives, the descriptive approach was used with its various methods: content analysis and Delphi method. The results showed: the scarcity of Arab and foreign intellectual production on the roles of knowledge ethics in supporting the use of generative artificial intelligence applications, and the design of a proposed standard list that includes the most prominent principles and values of knowledge ethics to support the use of generative artificial intelligence applications in Saudi universities. Among the most important recommendations that emerged from the study: encouraging and supporting research efforts on the subject of knowledge ethics to support the use of generative artificial intelligence applications in various fields, the necessity of consolidating and integrating the principles and values ​​that the study reached within the culture of organizations, and benefiting from the cultural role of knowledge ethics to support the use of generative artificial intelligence applications in Saudi universities by applying the proposed model, which has many advantages in the educational process, the administrative process, and scientific research.

Doi: 10.24897/acn.64.68.imaj720256


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