The Human Moral Archive Framework (HMAF) Addendum VI — The Moral Middleware Layer (MML) Architectural Integration of HMAF into Operational AI Systems

This addendum defines the Moral Middleware Layer (MML), the integration architecture that enables operational deployment of the Human Moral Archive Framework (HMAF) within real- world AI systems. The MML establishes the formal interface between HMAF’s theoretical constructs and the computational environments of enterprise-scale AI platforms, including alignment infrastructures, risk-management pipelines, supervisory control loops, and regulatory- compliance systems. It provides standardized input schemas, governed invocation pathways, transformation and normalization rules, temporal-coherence synchronization, drift-monitoring orchestration, and audit-ready output specifications. Together, these components create a secure, scalable, and mathematically consistent integration boundary that renders HMAF callable, verifiable, and regulatorily aligned without exposing any internal operators or proprietary computational mechanisms.