In November 2022 ChatGPT (Generative Pre trained Transformer), the prototype of a chatbot
based on machine learning, was presented. Its potential applications seem huge, from solving
simple school assignments to writing program code. While many users praise the chatbot in
the highest tones, some users see it as concerning, as many users do not question its answers.
Thus, the question arises whether ChatGPT can be applied in safety critical contexts, as the
reliability of the text outputs is controversial. The application of AI methods in aviation has
been the subject of research for some time. Since ChatGPT can be seen as the current state of
the art in AI based chatbots, the question arises how its potential could be exploited in
aviation.
Scope of the Thesis
The goal of this thesis is the analysis and evaluation of the possibilities of
ChatGPT in aviation applications, with focus specifically on airline operations, future cabin
concepts, cockpit, maintenance and passenger experience. Besides the opportunities, the risks
should also be addressed. Furthermore, some test runs with ChatGPT for selected scenarios
shall be performed and evaluated.
Contact
Jacqueline Bergmann, M Sc
Room L 101 562
Tel 06151 16 21065
Jan Kleikemper, M Sc
Room L 101 566
Tel 06151 16 21066
kleikemper@fsr.tu-darmstadt.de
Dr.-Ing. Jens Schiefele
https://www.fsr.tu-darmstadt.de/studiumundlehr…_2/index.de.jsp