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Applying the Assessment List for Trustworthy Artificial Intelligence on the development of AI supported Air Traffic Controller Operations

Stefani, Thomas and Deligiannaki, Fotini and Berro, Charles and Jameel, Mohsan and Hunger, Robert and Bruder, Carmen and Krüger, Thomas (2023) Applying the Assessment List for Trustworthy Artificial Intelligence on the development of AI supported Air Traffic Controller Operations. In: 42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023. Digital Avionics Systems Conference. DASC 2023, 2023-10-01 - 2023-10-05, Barcelona. doi: 10.1109/DASC58513.2023.10311323. ISBN 979-835033357-2. ISSN 2155-7195.

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Official URL: https://ieeexplore.ieee.org/document/10311323


The advance of AI in safety- and security-critical domains such as aviation needs high standards for its trustworthy development. In this context the EASA introduced the Assessment List for Trustworthy AI (ALTAI) as an helpful tool. This paper presents an approach for applying the ALTAI in the development of an AI-based digital Air Traffic Control Operator (ATCO). Specifically, the aim was using the ALTAI to derive a set of high-level requirements for the AI-based system to guarantee trustworthiness in the early development stages. The focus is thus given on how the ALTAI questions can be processed in order to yield system requirements. However, the necessity for a structured approach becomes apparent when confronted with the abundance of diverse perspectives within the ALTAI. Accordingly, various filtering, prioritization, and grouping methods were implemented in an usable framework. Consequently, the applicability of the ALTAI is analyzed, discovering a divergence between technical and ethical requirements. It is illustrated that technical questions often lead to highly applicable specific requirements, compared to ethical questions. Especially due to their importance, the challenges of deriving specific requirements for certain ethical aspects are emphasized and discussed. Additionally, suggestions on future versions of the ALTAI are given in order to strengthen its application during the development of AI-based systems. By showcasing our method and specific requirements obtained for the digital ATCO system, the objective is to highlight the necessity of the ALTAI and to provide a basis for its wider use.

Item URL in elib:https://elib.dlr.de/197961/
Document Type:Conference or Workshop Item (Speech)
Title:Applying the Assessment List for Trustworthy Artificial Intelligence on the development of AI supported Air Traffic Controller Operations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stefani, ThomasUNSPECIFIEDhttps://orcid.org/0000-0001-7352-0590144136219
Hunger, RobertUNSPECIFIEDhttps://orcid.org/0009-0008-5127-0832UNSPECIFIED
Bruder, CarmenUNSPECIFIEDhttps://orcid.org/0000-0003-2638-2361UNSPECIFIED
Date:October 2023
Journal or Publication Title:42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
EditorsEmailEditor's ORCID iDORCID Put Code
Publisher:Digital Avionics Systems Conference
Keywords:Trustworthy AI, AI Systems Engineering, Single Controller Operations, Air Traffic Management
Event Title:DASC 2023
Event Location:Barcelona
Event Type:international Conference
Event Start Date:1 October 2023
Event End Date:5 October 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Ulm
Institutes and Institutions:Institute for AI Safety and Security
Institute of Flight Guidance > Controller Assistance
Institute of Aerospace Medicine > Aviation and Space Psychology
Deposited By: Stefani, Thomas
Deposited On:11 Oct 2023 09:37
Last Modified:24 Apr 2024 20:58

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