In a report prepared for Trafikverket, we used a resilience engineering approach to assess an AI-based Flight Information Service (FIS) prototype in Air Traffic Management (ATM). The study, which involved pilots and experienced air traffic controllers, examined how effectively such a system can adapt to real operational conditions.
The results highlight that effective FIS relies on flexibility, understanding the context, and clear communication – abilities that any AI system must be able to imitate. Human operators consistently blend procedures with experience-based judgment to handle uncertainty and ensure safe operations.
While the study identifies challenges in implementing AI, it also points to clear potential. The findings provide practical guidance for the development and integration of future AI-based ATM solutions.
The report is available here: https://trafikverket.diva-portal.org/smash/record.jsf?pid=diva2%3A1993256&dswid=-5865