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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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The Human Moral Archive Framework (HMAF): Addendum IX - The Moral Standards Interface (MSI): Unified Protocols for Verification, Synchronization, and Interpretive Governance

Authors: Otto, Larry Lee;

The Human Moral Archive Framework (HMAF): Addendum IX - The Moral Standards Interface (MSI): Unified Protocols for Verification, Synchronization, and Interpretive Governance

Abstract

This expanded addendum defines the Moral Standards Interface (MSI), the governing layer that enables the Human Moral Archive Framework (HMAF) to function as a verifiable, auditable, interpretable, and enterprise-ready moral governance engine. While previous addenda established the mathematical constructions and computational architecture of HMAF—including distributional modeling (MDM), density weighting (MDF), indexing (MDI), computational transformation (MCP), and emergent behavior analysis (MEP, MEP-II)—none provided the unified standards required for large-scale deployment or regulatory evaluation. Addendum IX fills this gap. MSI integrates three essential domains into a single standards layer: (1) Moral Verification, which defines the full lifecycle of baseline capture, drift detection, coherence scoring, entropy monitoring, anomaly escalation, and audit-log generation; (2) Computational Synchronization, which establishes the timing, sequence, and coordination rules governing how HMAF subsystems update and exchange state information across cycles; and (3) Interpretive Semantics, which creates a formal lexicon for understanding HMAF outputs and categorizing coherence, drift, stability, and emergence events in compliance with OECD, NIST, and EU AI Act frameworks. Together, these components transform HMAF from a conceptual architecture into a deployable moral-governance layer suitable for enterprise integration, verification audits, and acquisition-grade due diligence. MSI does not disclose proprietary code, transformation rules, algorithms, or internal computational logic; instead, it provides the interpretive and procedural scaffolding required for safe and responsible operational use.

Keywords

Human Moral Archive Framework (HMAF); Moral Distribution Model (MDM); Moral Density Function (MDF); Moral Distribution Indexing (MDI); Moral State Index (MSI); Moral Middleware Layer (MML); Moral Computational Process (MCP); Moral Emergence Process (MEP); Moral Drift; Moral Entropy; Ethical Coherence; AI Ethics; Empirical Machine Ethics; Computational Morality; Autonomous Moral Adjudication; AI Safety; Information Theory; Moral Field Analysis; Moral State Calibration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green