Document Type
Poster
Publication Title
College of Aeronautics Research Poster Session
Abstract
The aviation industry has explored the integration of artificial intelligence (AI) into its unique aspects. This study aimed to identify the trends in publications that discuss AI and aviation within 2013-2023. A content analysis is used to identify any regressions in the trends of publication counts discussing AI and aviation. The study collected publication data from the Advanced Technologies & Aerospace Database (ATAD) using specific search terms, “AI and aviation,” “artificial intelligence and aviation,” “AI and aircraft,” and “AI and aircraft safety,” to accurately obtain publications. The collected data is then categorized by publications per year and is represented in tables and figures. The results indicate a positive regression in publication counts, indicating a growing trend in the research and discussions concerning the applicability of AI in the aviation industry. These findings identify AI's increasing significance and relevance in shaping the aviation industry.
Publication Date
12-7-2023
Recommended Citation
Morales, Victor E.; Escalera, Jonathan; Sanchez, Jose; Wheeler, Brooke; and Sharma, Vivek, "Artificial Intelligence & Aviation: A Content Analysis" (2023). Aeronautics Student Publications. 15.
https://repository.fit.edu/aero_student/15