European partners deliver first ‘FLY AI’ report on the current use and future potential of artificial intelligence in aviation

Artificial intelligence (AI) is already starting to transform how the world lives and works, and the pace of AI deployment is rapidly accelerating in all sectors, particularly in aviation including ATM. Aviation and ATM are ideally placed to take full advantage of AI, in particular via machine learning: ATM is powered by air to ground and ground to ground data flows, and big data’’ is a prerequisite for the successful use of AI.

“With European aviation facing growing pressure to reduce its environmental impact, as well as persistent capacity bottlenecks, we need more sophisticated changes on the ground and in the air, and quickly, if we want to accommodate sustainable traffic and passenger growth. Artificial Intelligence can be a key ally in pursuit of this goal. This report can be seen as a catalyst. It should focus efforts and spur innovation so that we may overcome the main challenges facing the industry, and improve the passenger experience in a safe and resilient manner while adhering to ethical principles,” said European Commissioner for Transport, Adina Vălean.

“This ‘FLY AI’ report provides a comprehensive overview of the various ways in which AI and machine learning are already contributing to a wide spectrum of value opportunities in our industry, with an extensive list of current initiatives in the sector. It puts into context the progress that we have made already and demonstrates that by joining forces, we will be in a position to demystify and accelerate AI development and unlock its potential for the benefit of the whole community and the European Network in particular. No one party was responsible for this report, it was a big team effort and my thanks go to all experts from the various organisations involved – the European Commission but also ACI-Europe, Airbus, ASD, CANSO, Heathrow Airport, Honeywell, IATA, IFATCA, IFATSEA, the SESAR Joint Undertaking, Thales, as well as our military partners EDA and NATO,” said Eamonn Brennan, Director General, EUROCONTROL.

The report finds that AI has huge potential for use in areas where it can reduce human workload or increase human capabilities in complex scenarios, e.g. to support air traffic controllers (ATCOs), Air Traffic Safety Electronics Personnel (ATSEP), pilots, airport operators, flow controllers or cybersecurity officers. AI will also play a fundamental role in driving the development of new ATM/U-space services, as new airspace users (high-level vehicles, low-level drones) seek to enter an already busy and complex airspace. AI will also increase safety and cyber resilience through the provision of new conflict detection, traffic advisory and resolution tools.

In particular, AI will enable better use of aviation data leading to more accurate predictions and more sophisticated tools, increased productivity and enhanced use of scarce resources (e.g. airspace, runways, staff), helping to tackle both capacity and the environment, the two most significant challenges facing European aviation today.

This report finds that more needs to be done to harness the full potential of AI to ensure the breakthrough required for this technology in aviation and ATM. With many aviation actors embarking on digital transformation journeys, increasing our understanding of how AI can generate business and society is key to building its usage and enlarging expertise.

FLY AI makes a number of practical recommendations that European aviation partners believe could help advance understanding among aviation/ATM actors of AI and its potential, demystify the topic, and help accelerate the uptake of AI in our sector.

The 'FLY AI Action Plan' put together by EUROCONTROL and its partners, suggests a number of practical measures designed to help advance the use of AI in the aviation and ATM sector, including work on a federated AI infrastructure, more AI research and development in key ATM areas (safety, cyber, operations both safety-critical and non-safety-critical), a focus on fostering the emergence of an AI Culture through training and upskilling of staff across enterprises, more partnerships with other Digital Innovation Hubs, AI specialists and other industrial sectors, and continued experience/knowledge sharing, communication and dissemination.