How can HARA methods be adapted to address the complexity of AI-driven decision-making, multi-sensor fusion, and dynamic operational design domains?
What strategies are most effective for designing fail-operational architectures and detecting latent faults in the hardware and software layers of autonomous systems?
What techniques and tools can be used to rigorously validate machine learning models for functional safety compliance, particularly under edge-case and rare-event conditions?