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Artificial Intelligence in Airline Pilot Training

Kupeli, Sezgin LU (2025) FLYL01 20251
School of Aviation
Abstract
This thesis aims to identify current applications of artificial intelligence in airline pilot training, review existing research, evaluate potential improvements, and examine associated limitations. A literary study was conducted to achieve this. Open research was found to be limited but broad, showing a wide range of potential uses. A few airlines and training providers were found to be currently utilising AI to improve their training in various ways. They, however, only provided limited information about how it is operationalised. The study found that AI offers significant promise but faces challenges related to transparency, reliability, bias, and ethical considerations. For more widespread utilization of AI in airline pilot training,... (More)
This thesis aims to identify current applications of artificial intelligence in airline pilot training, review existing research, evaluate potential improvements, and examine associated limitations. A literary study was conducted to achieve this. Open research was found to be limited but broad, showing a wide range of potential uses. A few airlines and training providers were found to be currently utilising AI to improve their training in various ways. They, however, only provided limited information about how it is operationalised. The study found that AI offers significant promise but faces challenges related to transparency, reliability, bias, and ethical considerations. For more widespread utilization of AI in airline pilot training, more research will likely be needed. (Less)
Please use this url to cite or link to this publication:
author
Kupeli, Sezgin LU
supervisor
organization
course
FLYL01 20251
year
type
M2 - Bachelor Degree
subject
keywords
Artificial Intelligence, Airline Pilot Training, Machine Learning, FLYL01
language
English
id
9201916
date added to LUP
2025-06-18 13:05:50
date last changed
2025-06-18 13:05:50
@misc{9201916,
  abstract     = {{This thesis aims to identify current applications of artificial intelligence in airline pilot training, review existing research, evaluate potential improvements, and examine associated limitations. A literary study was conducted to achieve this. Open research was found to be limited but broad, showing a wide range of potential uses. A few airlines and training providers were found to be currently utilising AI to improve their training in various ways. They, however, only provided limited information about how it is operationalised. The study found that AI offers significant promise but faces challenges related to transparency, reliability, bias, and ethical considerations. For more widespread utilization of AI in airline pilot training, more research will likely be needed.}},
  author       = {{Kupeli, Sezgin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Artificial Intelligence in Airline Pilot Training}},
  year         = {{2025}},
}