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The Trust Stack: Technical Governance Overview

Purpose of the Trust Stack​

The Trust Stack is the system architecture through which The Human Channel enforces transparency, accountability, and enforceable governance inside AI systems.

Rather than rely on external audits after harm occurs, the Trust Stack embeds governance directly into every AI interaction.

Trust Stack Layers​

Consent Layer
Permission governs whether AI systems may act. Consent must be explicit, revocable, and bound to specific scopes.

Identity Layer
SPID Protocol and PulseID bind AI interactions to specific individuals or authorized entities.

Transparency Layer
Every interaction is recorded in machine-readable logs that regulators, users, and organizations can inspect.

Governance Layer
Rules are enforced at machine speed through encoded compliance logic, jurisdictional tagging, and permission boundaries.

Oversight Layer
Human-in-the-loop requirements ensure that high-risk or sensitive actions remain under human authority.

Clean Voice Layer
Authenticity protocols prevent synthetic voice impersonation or unauthorized voice capture.

Why Embedded Governance Matters​

  • Reduces the need for reactive enforcement after harm has occurred.
  • Aligns AI deployment with both existing and future regulatory frameworks.
  • Provides individuals, organizations, and regulators with real-time visibility.
  • Ensures AI operates inside enforceable, legally compliant boundaries at all times.

Regulator Summary​

The Trust Stack transforms AI governance from an external policing function into an internal system design standard, allowing scalable AI deployment without sacrificing human agency or public safety.