Fresh Look: Reproducible Validation for AI Safety Logic
Reproducible Validation for AI Safety Logic
Whitepaper Series – Applied Philosophy of Systems Engineering
Reproducible Validation begins with a simple engineering premise: AI-based safety logic should not earn trust simply because it passed once.
The engineering team must be able to reconstruct it, replay it, and control it through regression.
This article continues Book III of my Applied Philosophy of Systems Engineering series by examining reproducible validation as a condition of authority.
For AI-enabled safety systems, the question is not only whether the function worked in one test. The question is whether the team can reconstruct the same state, data condition, model version, and logic configuration and verify the result again.
Reproducibility is not documentation after the fact.
It is the proof boundary between defined engineering knowledge and uncontrolled runtime behavior.
Occupant Sensing is used as the demonstration platform, but the approach applies more broadly to passive safety, active safety, autonomy, software-defined vehicles, and other sensing-based vehicle functions.
Part of the Applied Philosophy of Systems Engineering whitepaper series.
Read full paper: https://www.researchgate.net/publication/410729753_Reproducible_Validation_of_AI-Based_Safety_Logic
#SystemsEngineering #ReproducibleValidation #AISafety #Usecases #Verification #SafetyCriticalSystems #VehicleSafety
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