Explore selected writings from George D. Allen on systems engineering, functional safety, and digital transformation in the automotive domain. These insights reflect real-world program experience and the lessons learned from integrating complex systems into production reality.
Articles
Safety-Critical Parts Are Not Commodities
A safety-critical part cannot be managed as a commodity transaction when it carries vehicle-level responsibility.
Fresh Look: Reproducible Validation for AI Safety Logic
Reproducible Validation shows how AI safety logic becomes trusted through replay, traceability, regression control, and verified execution.
End-of-Line Inspection Is Not Lifetime Proof
End-of-line inspection verifies a vehicle at one moment, but it does not prove lifetime safety across corrosion, repair, software, environment, and field use.
Runtime State Awareness: Why Systems Must Know Their State
Runtime state awareness helps vehicle systems know whether their current hardware, software, electrical, and environmental state still supports safe operation.
Verification Boundaries in Vehicle Safety: Capability Is Not Enough
Verification boundaries define when system capability is proven, limited, degraded, or unsafe. Capability alone is not enough for complex vehicle systems.
Targeted Data for AI Safety and Verified Usecases
Targeted Data for AI Safety explains how requirements, Usecases, operating envelopes, and valid conditions define data before execution.