29th-30th JUNE 2027 – LONDON, UK

Dr Fateh Kaakai

Dr Fateh Kaakai

  • Safety Expert and AI Assurance Researcher, co-chair of EUROCAE WG-114
  • Thales, France

Fateh KAAKAI, PhD, is a Safety and Trustworthy AI Assurance Expert at Thales and a senior contributor within Thales CortAIx Labs. With more than 15 years of experience in safety-critical systems across aerospace, defence, and rail, he specializes in the engineering, validation, and certification of AI-based critical systems.
He currently co-chairs EUROCAE Working Group 114, leading the development of the first international standard for the certification of AI in safety-critical aeronautical applications. He contributes to European and national strategic initiatives on trustworthy AI, including work with the European Defence Agency and the French Ministry of Defence. He was seconded to the national Confiance.ai programme, focusing on safe architectures and runtime assurance for AI systems, and previously served as Thales’ representative to EASA.
Dr. Kaakai holds five patents and has authored numerous scientific publications, including white papers on trustworthy AI for European defence and a book on software abstract interpretation.

Sessions

  • AI/ML and Autonomy in Avionics

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

    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?