In recent years, sudden developments have occurred in technology. The widespread use of digital technologies and digital transformation have created an environment that allows advanced technologies to be developed and accepted by both the public and the business world. One of today's shocking developments is the rise of artificial intelligence (AI) technology. AI brings with it many opportunities both socially and economically and it has an impact on almost many sectors. One of these sectors is the aviation industry. It is extremely important for the world economy and countries. Furthermore, it has a complex structure where large data sets and changing customer demands are abundant. The use of AI technologies in the aviation industry can provide many competitive advantages. For this reason, focusing on AI requirements (AIR) is extremely critical. For this reason, this study aims to determine and analyze AIRs. The identified requirements are analyzed in a case study in Turkey aviation industry. For this purpose, cognitive map (CM) approach is adopted in the study to analyze the requirements. Modeling and solving real-life problems are complex and involve human perception that creates uncertainty. To overcome this complexity and uncertainty, the classical CM method is applied in fuzzy environment.