Studying and Identifying the Challenges of Implementing Artificial Intelligence Systems in Yemen Based on Content Analysis and Fuzzy Cognitive Mapping

Abstract

Today, due to the expansion of knowledge and the increasing complexity of decision-making, the use of information systems, especially artificial intelligence (AI), has become increasingly important. Advanced and emerging technologies have undoubtedly played an undeniable role in the growing development of technological advancements across all industries. Most countries that have succeeded in achieving superior technologies have been able to transform ideas and knowledge into practical, high-selling products by adopting appropriate AI-related policies and strategies. Therefore, in this article, we address the significant challenges facing AI development in the Republic of Yemen. After identifying the challenges using content analysis and interview tools, we prioritized these challenges and the intensity of the relationship between them using fuzzy knowledge mapping. The statistical population for this study was selected from experts and specialists in the field of information and communications technology, particularly those specializing in artificial intelligence. In this study, 36 central challenges to AI development in the country were first identified based on existing strategic documents and content analysis. Then, based on four primary impact matrices—the fuzzy impact matrix, the impact strength matrix, and the final impact matrix—and using FCMapper and Pajek, fuzzy knowledge maps were drawn. The research results show that the five main challenges facing AI development in the country include unwillingness to invest economically in AI, lack of mechanisms for AI market growth and development, lack of necessary AI laws and regulations, lack of specialists and experts in AI-related fields, and lack of data exchange platforms.