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Holistic Unified Certification Approach for Novel systems based on advanced automation
The project aims to set new standards for transparency, certification, and approval processes, ensuring the highest levels of safety and efficiency in the aviation sector. Certification of AI in air traffic management is a complex and evolving field that requires collaboration between aviation experts, AI researchers, regulatory bodies, and industry stakeholders to address these challenges and ensure the safe and efficient integration of AI into the aviation sector.
The HUCAN project will develop a novel, holistic certification approach tailored to AI-enabled ATM airborne and ground systems involving key stakeholders such as the European Union Aviation Safety Agency (EASA), national aviation authorities, and air navigation service providers (ANSPs). HUCAN also plans to provide a comprehensive set of design guidelines and accompanying toolkits that will streamline the development of automation and AI-powered technologies for manufacturers in the aviation industry.
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Deep Blue, a human factors consultancy, is helping businesses innovate and grow through human-centric design solutions, particularly in safety-critical sectors.
As the project coordinator of HUCAN, Deep Blue promotes liability by design, an integrated approach that combines technology development with associated legal and regulatory aspects. Additionally, Deep Blue is assisting the transition to artificial intelligence (AI) and transportation systems with increasing levels of automation by addressing unresolved legal and regulatory issues, such as liability allocation in accident cases and the necessity for understandable, ethical, and responsible AI.
Deep Blue is also responsible for managing the project's communication and dissemination, ensuring visibility and exploitation of the project's activities and results.
The Netherlands Aerospace Centre (NLR) is an aerospace research organization of the Netherlands and is one of its major technological institutes in the country. NLR performs research and develops technology in the field of aviation and space travel.
In HUCAN, NLR aims to keep improving the safety of aviation while including new technological developments, like artificial intelligence. NLR stands at the forefront of modelling and integration of new ideas for safety in a holistic approach.
The European University Institute (EUI) is a renowned center for research and higher education in political and social sciences, law, and economics. Founded in 1972, the EUI serves as a transnational hub for scholars and students from across Europe.
In HUCAN, the EUI examines the transformative impact of AI technologies on society and human activities, exploring the potential opportunities and associated risks. The EUI aims to develop innovative approaches to encourage responsible adoption of AI, enabling stakeholders to harness its benefits while mitigating and counteracting potential risks.
DLR is Germany's premier aerospace research center, conducting cutting-edge research and development in aviation, space, energy, transport, security, and digitalization. Within DLR, the Institute of Flight Guidance spearheads advancements in aircraft guidance systems, both airborne and ground-based.
In HUCAN, DLR brings its expertise to bear on the integration of Artificial Intelligence into Air Traffic Management. The DLR team meticulously evaluates the opportunities and risks presented by AI, aiming to develop secure, ethical, and human-centered AI technologies that enhance ATM efficiency and safety.
CIRA is the Italian Aerospace Research Centre, responsible for developing the Italian Aerospace Program (PRORA) under the Ministry of Research. CIRA has a strong focus on applied research, supporting industries and authorities in the aerospace sector. The Artificial Intelligence Unit within CIRA is part of the Safety and Security Department, with a team of experts with a background in airworthiness and safety.
In HUCAN, CIRA aims to explore the potential of AI in ATM, while carefully considering safety implications, addressing the use of AI to optimize airspace traffic flow and maximize efficiency and the development of AI-powered tools to assist air traffic controllers in their decision-making processes. By focusing on these use cases, CIRA aims to provide a better understanding of AI's potential impact on safety in ATM, enabling the responsible and effective integration of AI into ATM systems.
D-Flight is an Italian public-private partnership established in 2019, comprising ENAV, Leonardo, and Telespazio. Its mission is to develop and deploy UTM/U-space solutions to integrate traditional air traffic with the unique requirements of unmanned aircraft systems (UAS). D-Flight aims to enable the widespread use of drones for a variety of services while maintaining the highest safety standards.
For D-Flight it is crucial to address the implications and impacts of Artificial Intelligence and Machine Learning on certification processes for UAS/U-space implementation. The integration of AI and ML into UAS systems raises new challenges in terms of safety assurance, verification, and validation. D-Flight is working to develop innovative certification methodologies that can effectively assess the safety of AI-enabled UAS technologies.
This project has received funding from the SESAR 3 Joint Undertaking under grant agreement No 101114762 under European Union’s Horizon Europe research and innovation programme.