Description
Artificial Intelligence and Machine Learning applications are proliferating in society today. There has been a concerted push to see if AI or ML can be used in the design, fielding, operations, and maintenance of aviation systems. These AI and/or ML technologies have the potential to become integrated into aircraft and their subsystems, air traffic management functions, airline operations planning and fleet maintenance, infrastructure development and management, and many other aspects of the airspace system. One of the key problems is the inability to assure AI or ML components to the assurance level required for safety critical aviation systems. This workshop aims to bring together technologists and regulators for a discussion on creating a common understanding of the challenges associated with assuring and safely deploying AI and/or ML systems in civil aviation contexts. The goal is to identify fundamental questions to be answered in the design, development, and assurance of these systems; discuss at what point the answers are sufficient to proceed with adoption; and identify the tall polls for transition, how to advance the TRL, and how to define relevant environment testing.
