ΑΙhub.org
 

Fly AI report – demystifying and accelerating AI in aviation


by
19 November 2020



share this:
Fly AI report | AIhub

By Benjamin Cramet and Sylvie Grand-Perret

The first Fly AI report provides an overview of the many ways that artificial intelligence is already applied in the industry and assesses its potential to transform the sector.

The report aims to demystify AI, help its uptake in aviation and advance understanding of its potential for example in areas such as reducing human workload, driving the development of new air traffic management (ATM)/U-Space services, or increasing safety and cyber resilience. It includes a Fly Action Plan which sets out the practical actions that could be taken to accelerate the development of AI in European aviation and ATM.

A joint effort

The report was developed by the European Aviation High Level Group on AI (EAAI HLG) – a high level group composed of key representatives from all aviation sectors (airlines, airports, Air Navigation Service Providers, manufacturers, EU bodies, military and staff associations). Experts from a range of organisations were involved: EUROCONTROL, the European Commission, ACI-Europe, Airbus, ASD, CANSO, Heathrow Airport, Honeywell, IATA, IFATCA, IFATSEA, the SESAR JU, Thales, as well as our military partners EDA and NATO.

Read the report in full here.




AI4EU

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.

AI for ethology: an interview with Isla Duporge

  08 Sep 2026
Deep learning is becoming a powerful tool for understanding animal behaviour and tracking populations.

AI in cardiology: The path to practical application carries risks

  07 Sep 2026
Can artificial intelligence help us better combat cardiovascular diseases? Legal researcher Hannah van Kolfschooten urges caution, as there are still many legal issues that need to be resolved.

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence