Scipediacontent: Scipediacontent moved page Draft Content 839313623 to Gardi et al 2018a

2021-02-12T13:16:00Z

Scipediacontent moved page Draft Content 839313623 to Gardi et al 2018a

Scipediacontent: Created page with " == Abstract == Resurgent interest in artificial intelligence (AI) techniques focused research attention on their application in aviation systems including air traffic manage..."

2021-02-12T13:15:57Z

Created page with " == Abstract == Resurgent interest in artificial intelligence (AI) techniques focused research attention on their application in aviation systems including air traffic manage..."

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== Abstract ==

Resurgent interest in artificial intelligence (AI) techniques focused research attention on their application in aviation systems including air traffic management (ATM), air traffic flow management (ATFM), and unmanned aerial systems traffic management (UTM). By considering a novel cognitive human&ndash

machine interface (HMI), configured via machine learning, we examined the requirements for such techniques to be deployed operationally in an ATM system, exploring aspects of vendor verification, regulatory certification, and end-user acceptance. We conclude that research into related fields such as explainable AI (XAI) and computer-aided verification needs to keep pace with applied AI research in order to close the research gaps that could hinder operational deployment. Furthermore, we postulate that the increasing levels of automation and autonomy introduced by AI techniques will eventually subject ATM systems to certification requirements, and we propose a means by which ground-based ATM systems can be accommodated into the existing certification framework for aviation systems.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_839313623-beopen304-4791-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/aerospace5040103 http://dx.doi.org/10.3390/aerospace5040103] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/aerospace5040103 http://dx.doi.org/10.3390/aerospace5040103] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2226-4310/5/4/103/pdf https://www.mdpi.com/2226-4310/5/4/103/pdf] under the license https://creativecommons.org/licenses/by/4.0

* [http://www.mdpi.com/2226-4310/5/4/103 http://www.mdpi.com/2226-4310/5/4/103],
: [https://doaj.org/toc/2226-4310 https://doaj.org/toc/2226-4310] under the license cc-by

* [http://www.mdpi.com/2226-4310/5/4/103/pdf http://www.mdpi.com/2226-4310/5/4/103/pdf],
: [http://dx.doi.org/10.3390/aerospace5040103 http://dx.doi.org/10.3390/aerospace5040103]

* [https://www.mdpi.com/2226-4310/5/4/103 https://www.mdpi.com/2226-4310/5/4/103],
: [https://www.mdpi.com/2226-4310/5/4/103/pdf https://www.mdpi.com/2226-4310/5/4/103/pdf],
: [https://www.growkudos.com/publications/10.3390%25252Faerospace5040103/reader https://www.growkudos.com/publications/10.3390%25252Faerospace5040103/reader],
: [http://researchbank.rmit.edu.au/view/rmit:54257 http://researchbank.rmit.edu.au/view/rmit:54257],
: [https://academic.microsoft.com/#/detail/2894323256 https://academic.microsoft.com/#/detail/2894323256] under the license https://creativecommons.org/licenses/by/4.0/

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Gardi et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 839313623 to Gardi et al 2018a

Scipediacontent: Created page with " == Abstract == Resurgent interest in artificial intelligence (AI) techniques focused research attention on their application in aviation systems including air traffic manage..."