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
Working Model for AI Safety and Verified Usecases
The Working Model bounds AI-enabled safety systems by converting requirements into finite Usecases, verified knowledge, and controlled execution.
Jeep Cherokee Recall: The Hidden Risk Behind PTU Failure
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.
Understanding and Managing Engineering Complexity
A systems engineering framework for understanding and managing complexity through requirements, verification, optimization, simulation, and real automotive examples.
Why Great Engineering Concepts Should Be Demonstrable
Engineering concepts become easier to understand, validate, and communicate when they can be demonstrated through physical or virtual representations.
AI Systems Need Boundaries to Become Engineering Systems
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.
Harley-Davidson Recall: Pressure-Path Failure & Injury Risk
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.