Demand will exceed capacity in more parts of the global ATM system in the near future. To relieve congestion and improve efficiency, modernisation will be needed, and AI and ML could provide solutions to the current challenges. There are many sources and publications available on Artificial Intelligence (AI) and Machine Learning (ML). AI and the use of AI is changing and evolving rapidly in many industries including ATM.
IFATCA Policy is:Artificial Intelligence and/or Machine Learning based systems should only be implemented as decision support systems and shall not replace the decision of the ATCO. Where an ATCO is responsible for decision making, and in the event that system tools fail or are not available, the ATCO should always have the capacity to safely manage their area of responsibility. The introduction of AI systems shall be tested and validated with the assurance of appropriate standard levels of operations in terms of safety, security, robustness, and reliability. In case of disruption and in addition to backup and continuity systems, appropriate procedures and training shall be put in place to assist ATCOs in emergency situations. With special attention to airspace capacity, traffic complexity and available backup systems, a safety risk assessment shall be carried out to determine the possibility for ATCOs to intervene in case of disruption. IFATCA and MAs shall undertake actions to raise awareness at an international and national level about the impact of automation in ATM and hasten for appropriate legal changes in ATCO’s responsibility. ATCO’s responsibility shall be proportionally decreased in accordance with the level of automation and their ability to intervene and control automated systems. |
| See: Resolution B63 – WP 68 – Virtual 2022, Resolution BC1 – WP 92 – Montego Bay 2023 |
Last Update: October 2, 2023