Abstract

This paper extends on the initial findings of “APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE NATIONAL AIRSPACE SYSTEM - A PRIMER” (Stroup & Niewoehner: Herndon, VA; ICNS-2019), and looks at why the current technologies, enterprise architecture, and future program plans may not be enough to address persistent operational challenges. This paper further explores why emergent operational concepts, business models, and demand profiles may necessitate Artificial Intelligence (AI)-enhanced Communications, Navigation and Communications (CNS) infrastructure to disrupt current operational impediments. European airspace, as well as the NAS, has similar challenges. Key challenges explored in this study include: traffic flow management of diverse users; VAS Traffic Management - Air Traffic Management (UTM-ATM) airspace integration; equitable access to airspace; information exchange networks and airborne-ground interoperability of AI applications. Finally, we examine why trustworthiness and resiliency will be key mileposts on the regulatory pathway to AI certification.


Original document

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

http://dx.doi.org/10.1109/dasc43569.2019.9081768
https://academic.microsoft.com/#/detail/2979979796
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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1109/dasc43569.2019.9081768
Licence: CC BY-NC-SA license

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