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Published

Physical AI Safety Maturity Model (PAS-MM): A Five-Level Framework for Industry Readiness

Author
Mati Melchior · Independent Physical AI Safety Researcher
Published
2026-05-06
Licence
CC BY 4.0

Abstract

Physical AI deployments — humanoid robots, autonomous mobile robots, surgical systems, autonomous vehicles — are scaling faster than the safety vocabulary used to describe them. Safety claims across organizations are not comparable. Adjacent fields solved this problem with maturity models: CMMI for software process, AI Safety Levels (ASL) for AI safety posture, ISO/IEC 33001 for process assessment, PCI DSS for payment-industry security. Physical AI lacks an equivalent. This paper proposes the Physical AI Safety Maturity Model (PAS-MM) , a five-level classification system: Ad-hoc, Documented, Compliant, Certified, and Defense-in-depth. Levels are anchored to recognized…

Keywords Physical AI Safety · maturity model · IEC 61508 · ISO 13849 · certification · industry assessment

Cite as

Mati Melchior (2026). Physical AI Safety Maturity Model (PAS-MM): A Five-Level Framework for Industry Readiness. Physical AI Safety Press. https://doi.org/10.5281/zenodo.20048267

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