Imagine having a smart co-pilot that doesn't just take over, but explains its reasoning and learns from you in real-time. This work creates AI assistants for pilots and controllers that act like expert teammates rather than black-box software. It ensures that as we move toward autonomous flight, the humans in charge still trust and understand the machine's decisions.
AI in aviation often lacks transparency and trust, making it difficult for pilots and controllers to rely on them during critical safety events. There is a lack of standardized methods to validate that AI decisions are acceptable to human operators.
Six AI Digital Assistant prototypes for cockpits, towers, and airports, along with HF4AI design guidance and safety validation methods.
If you are an airline operator dealing with pilot stress during sudden emergency events — this project developed an Intelligent Assistant for the cockpit that helps manage 'startle response' adverse events to improve safety.
If you are a sky taxi provider dealing with complex city traffic management — this project developed a Digital Intelligent Assistant for coordinators to help organize urban air traffic more effectively.
If you are an airport operator dealing with health risks and infectious disease spread in terminals — this project developed an Intelligent Assistant to monitor risk factor conditions for indoor disease spread.
Based on available project data, no specific pricing or cost information is provided as this is a research and innovation project.
The project is developing 6 specific aviation use cases and prototypes to pave the way for integration into commercial aviation, urban air mobility, and airport operations.
Based on available project data, specific licensing terms are not mentioned, though the project focuses on creating guidance and assurance procedures for aviation stakeholders.
The project develops new safety and validation assurance methods and 'Acceptable means of compliance' to help regulatory authorities integrate AI into aviation systems.
The project period runs from 2022-09-01 to 2025-08-31, suggesting that prototypes and guidance will be finalized by late 2025.
The consortium is heavily industry-driven with a 56% industry ratio, comprising 10 industrial partners including 4 SMEs. This strong commercial presence, combined with 3 universities and 4 research centers across 12 countries, suggests the project is designed for practical application rather than pure theory.
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