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

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence