The future of cabin crew training: The role of artificial intelligence in the evolving aviation industry
Jussila, Ella (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025050910304
https://urn.fi/URN:NBN:fi:amk-2025050910304
Tiivistelmä
This thesis aims to find out the potential use of artificial intelligence (AI) in cabin crew new entrant training and how it can support the work of cabin crew instructors. The writer, working as a cabin crew member and a safety instructor, was inspired to research this topic after studying AI and recognizing it growing role in education and aviation. The aviation industry is evolving fast and the training methods must also adapt to the changes.
The goal of the research was to find out the routine tasks in trainings that could be supported by AI and how cabin crew instructors feel about using AI in the trainings. The study was done by combining theoretical review and a survey that was sent to cabin crew instructors in Finland. This survey brought insight for the attitudes and thoughts that the cabin crew instructors have. The survey was sent to 66 instructors and 33 responses were collected and analysed using qualitative and quantitative methods.
The first chapter introduced the background and the motivation for the thesis. The next chapter outlines the theoretical background on artificial intelligence and its use in aviation and other similar industries. The following chapter gives a detailed information about the cabin crew new entrant training, including the content, structure and regulatory framework. This is followed by a chapter that connects the theory and practice by going through the possible effects on training processes, learning and instructor’s role. Finally, is the survey itself and the results are gone through and analysed.
The results from the theoretical review and the survey show that the instructors see artificial intelligence useful in areas like emergency equipment training and crew resource management, so particularly in topics where content and consistency are important. There were also several concerns raised, especially regarding the accuracy of AI-generated material, data privacy, the loss of human interactions and the risk of over-reliance on automation. The results of the survey show that overall, the instructors are open to the use of AI, if it is combined with human led training in a hybrid model.
Based on these answers and findings, in the end is recommendations for responsible implementation of AI tools for training facilities. These include proper instructor training, critical content review processes and clear boundaries with sensitive information. The conclusions highlight the importance of further research and development to make sure these AI tools can be trusted and used safely in the training environments.
The goal of the research was to find out the routine tasks in trainings that could be supported by AI and how cabin crew instructors feel about using AI in the trainings. The study was done by combining theoretical review and a survey that was sent to cabin crew instructors in Finland. This survey brought insight for the attitudes and thoughts that the cabin crew instructors have. The survey was sent to 66 instructors and 33 responses were collected and analysed using qualitative and quantitative methods.
The first chapter introduced the background and the motivation for the thesis. The next chapter outlines the theoretical background on artificial intelligence and its use in aviation and other similar industries. The following chapter gives a detailed information about the cabin crew new entrant training, including the content, structure and regulatory framework. This is followed by a chapter that connects the theory and practice by going through the possible effects on training processes, learning and instructor’s role. Finally, is the survey itself and the results are gone through and analysed.
The results from the theoretical review and the survey show that the instructors see artificial intelligence useful in areas like emergency equipment training and crew resource management, so particularly in topics where content and consistency are important. There were also several concerns raised, especially regarding the accuracy of AI-generated material, data privacy, the loss of human interactions and the risk of over-reliance on automation. The results of the survey show that overall, the instructors are open to the use of AI, if it is combined with human led training in a hybrid model.
Based on these answers and findings, in the end is recommendations for responsible implementation of AI tools for training facilities. These include proper instructor training, critical content review processes and clear boundaries with sensitive information. The conclusions highlight the importance of further research and development to make sure these AI tools can be trusted and used safely in the training environments.