AAS 1.20 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ATC
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AAS 1.20 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ATC

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.
See: Resolution B63 – WP 68 – Virtual 2022

 

Last Update: July 25, 2022  

July 25, 2022   57   Jean-Francois Lepage    AAS    TOC , AAS , TPM , ATM Operations , ATM Information Management , Human Factors , Operational Environment

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