Artificial intelligence & aviation: Content analysis of research publications from 2013-2023

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Authors
Morales, Victor E.
Sanchez, Jose
Escalera, Jonathan
Sharma, Vivek
Wheeler, Brooke
Advisors
Issue Date
2024-10
Type
Article
Keywords
AI and aviation , Artificial intelligence and aviation , AI and aircraft , AI and aircraft safety
Research Projects
Organizational Units
Journal Issue
Citation
Morales, V. E., Sanchez, J., Escalera, J., Sharma, V., Wheeler, B. E. (2024). Artificial intelligence & aviation: Content analysis of research publications from 2013-2023. Journal of Management & Engineering Integration, 17(2), 100-106. https://doi.org/10.62704/10057/28469
Abstract

The aviation industry has explored the integration of artificial intelligence (AI) into its unique aspects but has not yet actively incorporated AI into the cockpit. This study aimed to identify trends in peer reviewed research publications that discuss AI and aviation from 2013 to 2023. Content analysis was used to identify the trend in annual AI and aviation publication counts over time. 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 results showed a strong positive trend, indicating a growing trend in research and discussion concerning the applicability of AI in the aviation industry. These findings highlight AI's increasing importance and relevance in shaping the aviation industry.

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Description
Published in SOAR: Shocker Open Access Repository by the Wichita State University Libraries Technical Services, October 2024.
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Publisher
Association for Industry, Engineering and Management Systems (AIEMS)
Journal
Book Title
Series
Journal of Management & Engineering Integration
v.17 no.2
PubMed ID
ISSN
1939-7984
EISSN