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
Artificial Intelligence and the Missing Architecture of Responsibility
Artificial Intelligence in operational systems requires clear authority: who activates it, who validates runtime decisions, and who governs drift.
Ford F-150 Recall: Control State Collapse in a Safety-Critical System
Ford’s F-150 recall shows how an unintended downshift can become a systems failure when control logic trusts degraded transmission signals.
Why AI Systems Need Finite Behavioral Envelopes
AI Systems in Engineering development must stay within finite behavioral envelopes. Without defined boundaries, verification becomes incomplete.
When Systems Learn: Adaptation and Integrity in the V-Model
When systems learn, engineering integrity endures. This paper explains how learning and adaptation strengthen the V-Model without breaking verification.
Artificial Intelligence in Engineered Systems: Driver or Verifiable Tool?
As Artificial Intelligence enters operational systems, engineers face a choice: will it drive system behavior or remain a bounded, verifiable instrument?
Change Control in Systems Engineering: Preserving System Integrity
Change control preserves engineering integrity as systems evolve. This paper explains: uncontrolled change spreads across interfaces and breaks system behavior.