AI and ML in Avionics Testing
AI and ML are evolving topics in the aerospace and defense sectors, raising complex testing and certification challenges, presenting significant verification and validation challenges. AI use cases are broadly categorized into narrow/specialized AI (e.g., object detection) and generative models, which pose greater unpredictability due to non-deterministic outputs.
Current architectures favour non-safety-critical, passive AI/ML systems operating in parallel with primary avionics functions—supporting anomaly detection, predictive maintenance, and decision support. In light of limited data availability, what methods are most appropriate for testing and validating?
How do you approach verification and validation of non-deterministic AI systems within the constraints of deterministic safety standards such as ED-324/DO-178C? Where will EUROCAE technical standards (WG114) support the development of systems and the certification of aeronautical systems implementing AI-technologies?
Join us, with speakers Gary Brown, Paul Butcher, Dr James Hui and Adam Mackay, who will be sharing their experiences and expertise at the Avionics and Testing Innovations Conference in London on 2nd-3rd June.
The Early Bird Deadline is Fast Approaching! – register before May 1st and save money with the early bird delegate rates!
Registration is open online at: Registration – Avionics and Testing Innovations
Join us in London for some more great discussions about avionics, testing, validation and certification!
