AI in ATM: Enablers and use cases
The availability of huge volume of data coupled with the growth of highly effective and efficient computing power enables the widespread use of artificial intelligence (AI) in air traffic management and related fields.
In this webinar, the third in the “FLY AI series”, we looked specifically at how AI can increase the efficiency of air navigation service provider services through a variety of new tools and systems.
An impressive panel of international AI experts from the aviation industry explored the great potential that AI offers to ATM operations and discussed how we can bring AI into air traffic control systems looking at safety, trustworthiness and certification issues. A number of use cases were showcased where machine-learning has been successfully implemented in ATM.
Key takeaways from the webinar
- AI is one of the seven technologies which the CANSO Strategic Technology Workgroup (STW) has identified as having a significant impact on ATM;
- The STWG White Paper on AI will soon be made available;
- Key enablers are infrastructures for data, explainability, certification, safety and human-machine collaboration;
- Common data infrastructures are essential to enable data availability, accessibility, interoperability, traceability and reliability;
- EUROCAE WG-114 will establish common standards, guidance material and any related documents required to support the development and certification/approval of aeronautical safety-related products based on AI-technology;
- Potential solutions to address the specificities of AI safety demonstration have been identified;
- AI can complement and augment human capabilities but will not replace human in the ATM domain;
- AI use cases have been applied in the area of air traffic safety management and risk analysis to asses key performance indicators, risk metrics, event categorisation and anomalies detection;
- Increased automation through conflict-resolution advisories using AI has also been demonstrated as a promising use case;
- Voice and speech recognition supported by AI can also increase ATM operator effectiveness (i.e. Command and Control), safety (i.e. attention trigger or conformance monitoring) and digitalisation through automated system responses.
This online event is the third webinar in the “FLY AI” webinar series, which EUROCONTROL is organising on behalf of the European Aviation High Level Group on Artificial intelligence (AI) as a first step towards building an AI community of practice for aviation.
This event, which CANSO moderated, is also part of their webinar series which they are organising following the publication of the CANSO White Paper on AI applications in aviation industry.