# HDGP Technical White Paper v1.0

| Field | Value |
|-------|--------|
| Version | **V1.0** |
| Status | Global baseline white paper |
| HTML | [`docs/readable/whitepaper.html`](../readable/whitepaper.html) |
| ZH canonical | [`HDGP_TECHNICAL_WHITEPAPER_ZH_v1.0.md`](HDGP_TECHNICAL_WHITEPAPER_ZH_v1.0.md) |

**Version**: V1.0  
**Release Date**: 2026-03-12  
**Trusted Timestamp Certificate ID**: TSA-01-20260325905287512

---

## 0. Scope and Boundary

HDGP is an optional but verifiable output-layer dignity protection layer for any “system output → humans see / act on it” chain; in high-risk contexts (healthcare, finance, legal, governance), it defaults to stricter safe behaviors and a verifiable audit evidence chain.

- This document is not legal advice.
- HDGP does not replace judicial, administrative, or regulatory decisions.
- System outputs are used for risk control, process constraints, and audit evidence; final decisions remain with accountable human entities.

HDGP is designed for supervised automation: agents and pipelines may execute repeatable operational steps, while humans retain the ultimate veto and moral responsibility in decisions involving significant value conflicts or irreversible consequences.

---

## 1. Global Vision

HDGP establishes deployable, verifiable, and reviewable governance infrastructure so intelligent systems can maintain safety boundaries without sacrificing operational utility.

The global scope includes three tracks:

1. **AI Track**: Governance for digital content and strategy outputs
2. **Embodied Track**: Governance for physical action and control chains
3. **Covenant Channel Track**: Governance for long-term principle recording and verification

---

## 2. Architecture Overview

HDGP adopts a three-layer architecture:

- **Execution Governance Layer**: rule decisions, protective interception, default-safe behavior
- **Audit Evidence Layer**: structured logs, hash-chain checks, evidence indexing
- **Principle Channel Layer**: independent principle files, chained records, verification events

Core engineering principles:

- Minimum intrusion
- Default-safe operation
- Auditability
- Reproducibility

---

## 3. AI Track

### 3.1 Objective

Provide plug-in governance for digital systems, with emphasis on high-risk output control and explainable intervention.

### 3.2 Capability Model

- Input/output risk evaluation
- Protective rewrite and block strategies
- Audit query and evidence persistence
- Minimum-necessary public disclosure support

### 3.3 Integration Modes

- Gateway mode
- SDK/Middleware mode
- Audit sidecar mode

### 3.4 Boundary

The AI Track is an engineering governance layer and does not replace domain-specific legal, medical, or financial accountability.

---

## 4. Embodied Track

### 4.1 Objective

Place governance between task intent and low-level controller execution in embodied systems.

### 4.2 Architectural Principles

- Serial governance in the primary control path
- Default-safe fallback on fault
- Full traceability of critical events
- Replay-ready evidence

### 4.3 Key Control Points

- Supply-chain and configuration integrity verification
- Secure communication and least privilege
- Time consistency and latency trace
- Fault-injection drill and post-incident review

### 4.4 Boundary

The Embodied Track focuses on action-time safety governance and auditing, and does not claim to replace industry certification procedures.

---

## 5. Covenant Channel Track

### 5.1 Objective

Create an independent principle channel decoupled from runtime policy execution.

### 5.2 Structure Model

- `principle_text`: principle text
- `block`: structured block record
- `chain.log`: chained audit log
- `verify.json`: verification metadata

### 5.3 Value

- Converts principle narrative into verifiable structures
- Reduces silent drift and tampering risk
- Provides long-term reference for governance audits and retrospectives

### 5.4 Boundary

Covenant Channel records and verifies principles; it does not replace runtime decision logic.

---

## 6. Commercial and Ecosystem Path

### 6.1 Commercial Primary Line (to B)

- Standard delivery package
- Enhanced governance package
- Audit and operations support package

### 6.2 Institutional Collaboration Line (to G)

- Verifiable control objectives
- Authorized evidence collaboration capability
- Compliance-oriented disclosure and coordination

### 6.3 Community Ecosystem Line

- Community baseline capability set
- Clear capability boundary from commercial systems

---

## 7. 12-Month Development Plan

### Q1 Baseline Consolidation

- Unified terminology and disclosure baseline
- Three-track architecture alignment
- Core governance process standardization

### Q2 Delivery Loop

- Commercial package standardization
- Simulation and audit workflow linkage
- Principle channel verification workflow integration

### Q3 Expansion and Reuse

- Industry scenario templates
- Unified cross-track evidence structure
- Operating metric framework enhancement

### Q4 Stable Operations

- Annual governance and audit reporting framework
- Standardized external collaboration materials
- Long-cycle iteration mechanism

---

## 8. Risk Governance

### 8.1 Key Risks

- External misinterpretation of positioning
- Excessive disclosure increasing attack surface
- Cross-track coupling impacting delivery stability

### 8.2 Governance Strategies

- Unified terminology and disclaimer baseline
- Minimum-necessary disclosure with layered visibility
- Independent milestones and cross-track review

---

## 9. Terminology Convention

- Chinese naming: `厚德归朴`
- English naming: `HDGP`
- Public materials default to the HDGP abbreviation
- Public content avoids terms that imply state/legal authority

---

## 10. Closing Statement

HDGP is a global governance engineering framework centered on implementation, verification, and continuity.  
Across AI, Embodied, and Covenant Channel tracks, it provides practical capabilities for safe operation, auditable evidence, and long-term governance evolution.

---

**Chief Architect / Founder**: Yvaine He