---
hip: 250
title: Sustainability Standards Alignment Matrix
author: Hanzo AI Team
type: Meta
status: Draft
created: 2025-12-16
requires: [200]
---



# HIP-0250: Sustainability Standards Alignment Matrix

## Abstract

This HIP provides a comprehensive mapping between Hanzo AI's Responsible AI (HIP-200) and sustainability frameworks to global standards including NIST AI RMF, ISO/IEC 42001, EU AI Act, environmental standards, and AI-specific governance frameworks. This matrix enables stakeholders to understand how Hanzo's commitments align with regulatory and voluntary standards.

## Purpose

AI companies face increasing scrutiny from:
1. **Regulators**: EU AI Act, emerging US AI regulations
2. **Enterprise customers**: AI governance requirements in procurement
3. **Investors**: ESG criteria for AI investments
4. **Partners**: Interoperability and trust requirements

This matrix demonstrates our commitment to meeting the highest standards.

## AI Governance Standards

### NIST AI Risk Management Framework (AI RMF)

| NIST Function | Category | Hanzo Implementation | HIP Reference |
|---------------|----------|----------------------|---------------|
| **GOVERN** | 1.1 Legal compliance | Legal review process | HIP-200 |
| | 1.2 Trustworthy AI characteristics | Core principles defined | HIP-200 |
| | 1.3 Workforce diversity | Hiring practices | HIP-200 |
| | 1.4 Risk culture | Safety-first culture | HIP-200 |
| | 1.5 Risk tolerance | Risk appetite defined | HIP-201 |
| **MAP** | 2.1 System context | Use case documentation | HIP-201 |
| | 2.2 Impact assessment | Pre-deployment review | HIP-201 |
| | 2.3 Trustworthiness characteristics | Model cards | HIP-240 |
| **MEASURE** | 3.1 Risk metrics | Safety metrics dashboard | HIP-210 |
| | 3.2 Qualitative analysis | Red team exercises | HIP-210 |
| | 3.3 Tracking mechanisms | Production monitoring | HIP-210 |
| **MANAGE** | 4.1 Risk prioritization | Risk matrix | HIP-201 |
| | 4.2 Risk treatment | Mitigation strategies | HIP-201 |
| | 4.3 Incident response | 24/7 response capability | HIP-200 |

### ISO/IEC 42001 (AI Management System)

| ISO Clause | Requirement | Hanzo Implementation | Status |
|------------|-------------|----------------------|--------|
| **4. Context** | 4.1 Understanding organization | Mission & strategy documented | Implemented |
| | 4.2 Interested parties | Stakeholder mapping | Implemented |
| | 4.3 Scope | AI system boundaries defined | Implemented |
| | 4.4 AI MS | Management system established | In Progress |
| **5. Leadership** | 5.1 Leadership commitment | Board oversight | Implemented |
| | 5.2 AI policy | HIP-200 serves as policy | Implemented |
| | 5.3 Roles & responsibilities | RACI matrix defined | Implemented |
| **6. Planning** | 6.1 Risk/opportunity | Risk register maintained | Implemented |
| | 6.2 AI objectives | Safety metrics defined | Implemented |
| **7. Support** | 7.1 Resources | Dedicated safety team | Implemented |
| | 7.2 Competence | Training requirements | In Progress |
| | 7.3 Awareness | All-hands AI ethics training | Planned |
| | 7.4 Communication | Transparency reports | Implemented |
| **8. Operation** | 8.1 Planning & control | Model release process | Implemented |
| | 8.2 AI risk assessment | Pre-deployment review | Implemented |
| | 8.3 AI risk treatment | Mitigation implemented | Implemented |
| | 8.4 AI system lifecycle | Full lifecycle governance | In Progress |
| **9. Evaluation** | 9.1 Monitoring | Continuous monitoring | Implemented |
| | 9.2 Internal audit | Quarterly internal review | Implemented |
| | 9.3 Management review | Board-level review | Implemented |
| **10. Improvement** | 10.1 Nonconformity | Incident response process | Implemented |
| | 10.2 Continual improvement | Iterative enhancement | Implemented |

**Certification Status**: Target Q4 2025

### EU AI Act Compliance

| Risk Category | Requirements | Hanzo Compliance | Status |
|---------------|--------------|------------------|--------|
| **Prohibited** | No prohibited use cases | Policy excludes prohibited uses | ✅ Compliant |
| **High-Risk** | Full compliance suite required | Full controls where applicable | In Progress |
| | Risk management system | HIP-201 MRM | ✅ |
| | Data governance | HIP-205 Data Governance | ✅ |
| | Technical documentation | Model cards (HIP-240) | ✅ |
| | Record keeping | Audit trails | ✅ |
| | Transparency | User disclosure | ✅ |
| | Human oversight | HIP-230 | ✅ |
| | Accuracy & robustness | HIP-210 Safety Evaluation | ✅ |
| **Limited Risk** | Transparency obligations | Disclosure implemented | ✅ Compliant |
| **Minimal Risk** | Voluntary codes | Adhering to HIP framework | ✅ Compliant |

### OECD AI Principles

| OECD Principle | Definition | Hanzo Implementation | HIP Reference |
|----------------|------------|----------------------|---------------|
| **Inclusive Growth** | AI benefits broadly shared | Open source models, API access | HIP-200 |
| **Human-Centered Values** | Respect human rights & democracy | Core principles | HIP-200 |
| **Transparency** | Meaningful information about AI | Model cards, disclosures | HIP-240 |
| **Robustness** | Security, safety, oversight | Safety evaluation suite | HIP-210 |
| **Accountability** | Clear ownership | Named owners per system | HIP-200 |

## Environmental & ESG Standards

### GHG Protocol (AI Operations)

| Scope | Source | Hanzo Reporting | HIP Reference |
|-------|--------|-----------------|---------------|
| **Scope 1** | Direct emissions | None (cloud-based) | N/A |
| **Scope 2** | Purchased electricity | Training & inference compute | HIP-260 |
| **Scope 3** | Value chain | Hardware manufacturing, data centers | HIP-260 |

### Green AI Metrics

| Metric | Definition | Hanzo Tracking | Target |
|--------|------------|----------------|--------|
| Training emissions | tCO2e per model | Tracked per training run | -30% YoY |
| Inference efficiency | Tokens per kWh | Real-time monitoring | +50% YoY |
| Carbon intensity | gCO2e per 1M tokens | Published in model cards | Report |
| PUE impact | Power Usage Effectiveness | Data center selection criteria | <1.2 |

### AI Environmental Impact Standards

| Framework | Element | Hanzo Approach |
|-----------|---------|----------------|
| **ML Emissions Calculator** | Estimate training emissions | Integrated into training pipeline |
| **Code Carbon** | Real-time tracking | Planned integration |
| **Green Algorithms** | Energy estimation | Benchmarking tool |
| **IEA Guidelines** | Data center efficiency | Vendor selection criteria |

## Security & Privacy Standards

### SOC 2 Type II (AI-Specific)

| Trust Principle | AI-Specific Control | Hanzo Implementation | Status |
|-----------------|---------------------|----------------------|--------|
| **Security** | Model access control | Role-based API access | Implemented |
| | Training data protection | Encrypted storage | Implemented |
| | Adversarial protection | Input validation | Implemented |
| **Availability** | Model serving SLA | 99.9% uptime target | Implemented |
| | Failover capability | Multi-region deployment | Implemented |
| **Confidentiality** | Prompt confidentiality | No training on user data | Implemented |
| | Output confidentiality | Logging controls | Implemented |
| **Privacy** | PII handling | HIP-270 compliance | Implemented |
| | Data minimization | Collection limits | Implemented |

**Certification Status**: Target 2025

### ISO 27001 (Information Security)

| Domain | Control | Hanzo Implementation |
|--------|---------|----------------------|
| A.5 Information Security Policies | Policy documentation | HIP-200 series |
| A.6 Organization of InfoSec | Security team structure | Dedicated team |
| A.8 Asset Management | AI system inventory | Maintained registry |
| A.9 Access Control | API key management | Implemented |
| A.12 Operations Security | Monitoring & logging | 24/7 SOC |
| A.14 System Development | Secure SDLC | AI-specific controls |
| A.16 Incident Management | Incident response | HIP-200 procedures |

**Certification Status**: Target 2025

### Privacy Frameworks

| Framework | Requirement | Hanzo Compliance |
|-----------|-------------|------------------|
| **GDPR** | Art. 22 (automated decisions) | Human oversight option | Implemented |
| | Art. 13-14 (transparency) | Disclosure provided | Implemented |
| | Art. 17 (right to erasure) | Data deletion capability | Implemented |
| | Art. 35 (DPIA) | Impact assessments | Implemented |
| **CCPA** | Right to know | Disclosure available | Implemented |
| | Right to delete | Deletion capability | Implemented |
| | Right to opt-out | Opt-out mechanism | Implemented |
| **ISO 27701** | Privacy management | Planning certification | 2026 Target |

## AI-Specific Voluntary Standards

### Partnership on AI Tenets

| Tenet | Commitment | Hanzo Implementation |
|-------|------------|----------------------|
| Safety-critical AI | Rigorous testing | HIP-210 evaluation suite |
| Fairness & inclusivity | Bias testing | HIP-220 testing framework |
| Transparency | Publish research | Open publications |
| Labor & economy | Responsible deployment | Workforce considerations |
| Collaboration | Industry engagement | Active PAI member |

### Anthropic's Responsible Scaling Policy

| Commitment | Description | Hanzo Alignment |
|------------|-------------|-----------------|
| ASL-1 | Basic safety | Baseline for all models |
| ASL-2 | Enhanced safety | Current production standard |
| ASL-3 | Advanced safety | Commitment for future capability |
| Eval-driven | Evaluation before capability | Pre-deployment gates |

### Model Cards (Mitchell et al.)

| Model Card Section | Required Info | Hanzo Implementation |
|--------------------|---------------|----------------------|
| Model Details | Architecture, training | Included |
| Intended Use | Use cases, users | Included |
| Factors | Relevant attributes | Included |
| Metrics | Evaluation metrics | Included |
| Evaluation Data | Test datasets | Included |
| Training Data | Data description | Included |
| Quantitative Analyses | Performance results | Included |
| Ethical Considerations | Risks, mitigations | Included |
| Caveats | Limitations | Included |

## Standards Compliance Summary

### Full Alignment

| Standard | Status | Evidence |
|----------|--------|----------|
| NIST AI RMF | Aligned | HIP-200 series |
| OECD AI Principles | Aligned | Policy documentation |
| Partnership on AI | Member | Public commitment |
| Model Cards | Implemented | Published with releases |

### In Progress

| Standard | Gap | Timeline |
|----------|-----|----------|
| ISO/IEC 42001 | Certification process | Q4 2025 |
| SOC 2 Type II | Audit engagement | 2025 |
| EU AI Act | Full high-risk compliance | 2025 |

### Planned

| Standard | Dependency | Target |
|----------|------------|--------|
| ISO 27001 | Security controls formalization | 2025 |
| ISO 27701 | Privacy program maturity | 2026 |

## Using This Matrix

### For Enterprise Customers
Reference HIP numbers in vendor assessments and procurement questionnaires.

### For Regulators
This matrix demonstrates proactive compliance with emerging AI regulations.

### For Partners
Map integration requirements to Hanzo's documented standards.

### For Auditors
Use this as a starting point for compliance verification.

## Related HIPs

- **HIP-200**: Responsible AI Principles and Commitments (parent document)
- **HIP-201**: Model Risk Management (MRM)
- **HIP-205**: Data Governance & Consent
- **HIP-210**: Safety Evaluation Suite
- **HIP-220**: Bias & Fairness Testing
- **HIP-230**: Human Oversight & Escalation
- **HIP-240**: Transparency Reports
- **HIP-251**: Green AI Compute Practices
- **HIP-260**: Carbon-Aware Training & Inference
- **HIP-270**: Privacy-Preserving ML

## Changelog

| Version | Date | Changes |
|---------|------|---------|
| 1.0 | 2025-12-16 | Initial draft |

## Copyright

Copyright and related rights waived via [CC0](https://creativecommons.org/publicdomain/zero/1.0/).