Application of AI in the NAS - The Rationale for AI-Enhanced Airspace Management

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; UAS Traffic Management - Air Traffic Management (UTMATM) 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.