Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
Researchers present a novel Safety-by-Design method to define Operational Design Domains (ODDs) for safety-critical AI systems using data-driven approaches rather than traditional expert-led design. The approach uses kernel-based representations to retroactively characterize environmental conditions from collected data and is validated through aviation collision-avoidance system testing, potentially enabling future certification of AI systems in critical domains.
