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Authors:
Hülsmann, Maren; Förstner, Roger 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
AI-based Spacecraft Operations and the Issue of Lacking Trust - First Results of an AI Trustability Survey in the Space Domain 
Organizer (entity):
International Astronautical Federation 
Conference title:
International Astronautical Congress (74., 2023, Baku, Azerbaijan) 
Venue:
Baku, Aserbaidschan 
Year of conference:
2023 
Date of conference beginning:
02.10.2023 
Date of conference ending:
06.10.2023 
Year:
2023 
Language:
Englisch 
Abstract:
The proliferation of Artificial Intelligence, particularly Machine Learning and Deep Learning, has reached the space sector, given the method's high computational performance. However, the integration of AI-based systems in spacecraft operations or onboard spacecraft has not moved further than being researched. One of the reasons is that many non-AI-expert users state that the complexity and black-box behavior is leading to a lack of understandability and trust in such AI systems. Hence, for the...    »
 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung 
Chair:
Förstner, Roger 
Research Hub UniBw M:
SPACE 
Open Access yes or no?:
Nein / No