AI/ML and Autonomy in Avionics

WG-114 Standardization Initiative for AI in Aviation: Where Innovation Meets Safety

Dr Fateh Kaakai Safety Expert and AI Assurance Researcher, co-chair of EUROCAE WG-114 / Thales, France

Jon F. Technical Director / Chief Engineer / Assured Intelligence

Enabling ATM-U-space Interoperability: Validation of Digital Coordination Services

Sergio Ruiz ATM and U-space Validation Expert / EUROCONTROL Innovation Hub

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integrated into avionics systems and safety-critical environments to enhance capabilities. AI/ML is being used at the aircraft, not just in it, including sensor fusion, target recognition, predictive maintenance, flight control, adaptive mission systems, and autonomous UAVs. EUROCAE WG-114 is formalizing the first AI-specific aviation standard (target release: mid-2026) to support regulatory alignment. WG-132 is concurrently developing joint guidance with SAE for ML-enabled automated aircraft inspections using UAS and robotics. How can AI continue to develop to assist avionics technology developments? How do we develop AI/ML and usage standards, ensuring ED-12C/DO-178C and ED-215/DO-330 compliance, when there is a lack of data?