Overcome Certification Challenges of AI Based Airborne Systems Using FAA Overarching Properties

Abstract

AbstractTechnologies such as Artificial Intelligence encompassing Machine Learning, Deep Learning techniques have proved to be a game changer in multiple sectors. The use of these technologies in Aviation will prove to ensure higher rigor in predictive maintainability, air traffic management, safety assurance and airworthiness. Current traditional regulatory and industry standards have proved to be efficient and effective in providing highest level of safety. However, Certification of Avionics systems is becoming challenging because of increasing complexity of avionics systems. Current regulations and standards are very prescriptive and inadequate to support new technological trends. Civil Aviation Authorities (CAAs) are working on establishing the regulatory guidance around these technologies. This paper addresses the new strategy of employing Federal Aviation Administration (FAA) “Overarching Properties” ‐ a framework for demonstrating that a product has the qualities required to perform effectively and safely with the purpose of simplifying the certification process. This paper also covers the possible scenarios for establishing the safety net concept to enhance the determinism and airworthiness of AI based systems.