Artificial intelligence applications in air transport

Alex Koech and Eric Tchouamou Njoya

Chapter 31 in Research Handbook on Air Transport Management, 2026, pp 408-421 from Edward Elgar Publishing

Abstract: Artificial intelligence (AI) holds immense potential to transform the aviation industry, improving customer experiences and ensuring passenger safety. AI-driven technologies, such as machine learning in digital twin, aerospace design, aerospace production, aerospace verification and validation, and aerospace service, among others, have increased automation and streamlined processes in the aviation industry. Airlines are currently experimenting with AI to minimise flight delays, enhance fuel efficiency, automate scheduling, and facilitate predictive maintenance. However, integrating AI with safety-critical systems raises concerns about reliability and accountability in case of failures. This chapter explores AI applications across different sectors of the air transport industry, such as aircraft manufacturing, air navigation services, airline operations, and airport management. It further examines both the benefits and potential challenges of AI in air transport, offering valuable insights into its future impact on the industry.

Keywords: Artificial intelligence and air transport; Aviation operations; Aircraft manufacturing; Passenger experience; Predictive maintenance; Air traffic management (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035336272
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