hip-0250

HIP-250: Sustainability Standards Alignment Matrix. Status Draft. Hanzo's own standard — read this before implementing against it.

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

Changelog

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

Copyright

Copyright and related rights waived via CC0.