An explainable artificial intelligence (xAI) framework for improving trust in automated ATM tools

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dc.contributor.authorSanchez Hernandez, Carolina
dc.contributor.authorAyo, Samuel
dc.contributor.authorPanagiotakopoulos, Dimitrios
dc.date.accessioned2021-12-20T10:39:19Z
dc.date.available2021-12-20T10:39:19Z
dc.date.issued2021-11-15
dc.description.abstractWith the increased use of intelligent Decision Support Tools in Air Traffic Management (ATM) and inclusion of non-traditional entities, regulators and end users need assurance that new technologies such as Artificial Intelligence (AI) and Machine Learning (ML) are trustworthy and safe. Although there is a wide amount of research on the technologies themselves, there seem to be a gap between research projects and practical implementation due to different regulatory and practical challenges including the need for transparency and explainability of solutions. In order to help address these challenges, a novel framework to enable trust on AI-based automated solutions is presented based on current guidelines and end user feedback. Finally, recommendations are provided to bridge the gap between research and implementation of AI and ML-based solutions using our framework as a mechanism to aid advances of AI technology within ATM.en_UK
dc.identifier.citationSanchez Hernandez C, Ayo S, Panagiotakopoulos D. (2021) An explainable artificial intelligence (xAI) framework for improving trust in automated ATM tools. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), 3-7 October 2021, San Antonio, USAen_UK
dc.identifier.eisbn978-1-6654-3420-1
dc.identifier.issn2155-7209
dc.identifier.urihttps://doi.org/10.1109/DASC52595.2021.9594341
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17344
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectAir Traffic Managementen_UK
dc.subjectArtificial Intelligenceen_UK
dc.subjectMachine Learningen_UK
dc.subjectTrust Frameworken_UK
dc.titleAn explainable artificial intelligence (xAI) framework for improving trust in automated ATM toolsen_UK
dc.typeConference paperen_UK

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