Imagine having a smart co-pilot that helps you fly a plane or manage air traffic, but you aren't quite sure if you can trust its suggestions. This work figures out how to design these digital assistants so humans can work with them without getting overwhelmed or confused. It's like creating a clear manual for how a human and an AI should split the chores to keep everyone safe.
Aviation is adopting AI, but there is a gap in knowing how humans and machines should share tasks safely. Without clear interaction rules, AI can increase pilot workload or lead to safety risks.
The project developed human-machine interaction concepts and AI-driven digital assistants for aircraft crews, air traffic control, and drone planning.
If you are an airline operator dealing with pilot fatigue and cognitive overload — this project developed human-machine interaction concepts that improve situational awareness. This ensures that AI assistants support the crew without compromising safety.
If you are a navigation provider dealing with increasing airspace congestion — this project developed methods to integrate AI into air traffic control operations. This helps controllers manage more traffic while maintaining strict safety standards.
If you are a drone operator dealing with complex mission planning — this project developed AI-driven assistance tools for mission planning. This reduces the manual effort required to plan safe flight paths.
Based on available project data, no specific pricing or implementation costs are provided.
The project aims to reach TRL6 by demonstrating use cases in relevant environments, suggesting a path toward industrial scaling.
Based on available project data, there is no specific information regarding IP ownership or licensing agreements.
The project specifically looks into approval and certification issues, focusing on AI explainability and the human ability to operate these tools.
It uses a human-centric design to optimize interaction, focusing on workload and situational awareness to ensure a seamless transition into operations.
The consortium is well-balanced for technology transfer, featuring a 44% industry ratio with 4 industrial partners and 1 SME. With 9 partners across 6 countries, the group combines academic research with practical aviation application, ensuring the AI tools are grounded in real-world operational needs.
Contact Fundacion Instituto de Investigacion Innaxis in Spain
Contact us to connect with the SafeTeam consortium for TRL6 pilot opportunities.
