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HIP-250DraftMeta

Sustainability Standards Alignment Matrix

Hanzo AI Team
Created: 2025-12-16
Requires: HIP-200

HIP-250: 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 FunctionCategoryHanzo ImplementationHIP Reference
GOVERN1.1 Legal complianceLegal review processHIP-200
1.2 Trustworthy AI characteristicsCore principles definedHIP-200
1.3 Workforce diversityHiring practicesHIP-200
1.4 Risk cultureSafety-first cultureHIP-200
1.5 Risk toleranceRisk appetite definedHIP-201
MAP2.1 System contextUse case documentationHIP-201
2.2 Impact assessmentPre-deployment reviewHIP-201
2.3 Trustworthiness characteristicsModel cardsHIP-240
MEASURE3.1 Risk metricsSafety metrics dashboardHIP-210
3.2 Qualitative analysisRed team exercisesHIP-210
3.3 Tracking mechanismsProduction monitoringHIP-210
MANAGE4.1 Risk prioritizationRisk matrixHIP-201
4.2 Risk treatmentMitigation strategiesHIP-201
4.3 Incident response24/7 response capabilityHIP-200

ISO/IEC 42001 (AI Management System)

ISO ClauseRequirementHanzo ImplementationStatus
4. Context4.1 Understanding organizationMission & strategy documentedImplemented
4.2 Interested partiesStakeholder mappingImplemented
4.3 ScopeAI system boundaries definedImplemented
4.4 AI MSManagement system establishedIn Progress
5. Leadership5.1 Leadership commitmentBoard oversightImplemented
5.2 AI policyHIP-200 serves as policyImplemented
5.3 Roles & responsibilitiesRACI matrix definedImplemented
6. Planning6.1 Risk/opportunityRisk register maintainedImplemented
6.2 AI objectivesSafety metrics definedImplemented
7. Support7.1 ResourcesDedicated safety teamImplemented
7.2 CompetenceTraining requirementsIn Progress
7.3 AwarenessAll-hands AI ethics trainingPlanned
7.4 CommunicationTransparency reportsImplemented
8. Operation8.1 Planning & controlModel release processImplemented
8.2 AI risk assessmentPre-deployment reviewImplemented
8.3 AI risk treatmentMitigation implementedImplemented
8.4 AI system lifecycleFull lifecycle governanceIn Progress
9. Evaluation9.1 MonitoringContinuous monitoringImplemented
9.2 Internal auditQuarterly internal reviewImplemented
9.3 Management reviewBoard-level reviewImplemented
10. Improvement10.1 NonconformityIncident response processImplemented
10.2 Continual improvementIterative enhancementImplemented

Certification Status: Target Q4 2025

EU AI Act Compliance

Risk CategoryRequirementsHanzo ComplianceStatus
ProhibitedNo prohibited use casesPolicy excludes prohibited uses✅ Compliant
High-RiskFull compliance suite requiredFull controls where applicableIn Progress
Risk management systemHIP-201 MRM
Data governanceHIP-205 Data Governance
Technical documentationModel cards (HIP-240)
Record keepingAudit trails
TransparencyUser disclosure
Human oversightHIP-230
Accuracy & robustnessHIP-210 Safety Evaluation
Limited RiskTransparency obligationsDisclosure implemented✅ Compliant
Minimal RiskVoluntary codesAdhering to HIP framework✅ Compliant

OECD AI Principles

OECD PrincipleDefinitionHanzo ImplementationHIP Reference
Inclusive GrowthAI benefits broadly sharedOpen source models, API accessHIP-200
Human-Centered ValuesRespect human rights & democracyCore principlesHIP-200
TransparencyMeaningful information about AIModel cards, disclosuresHIP-240
RobustnessSecurity, safety, oversightSafety evaluation suiteHIP-210
AccountabilityClear ownershipNamed owners per systemHIP-200

Environmental & ESG Standards

GHG Protocol (AI Operations)

ScopeSourceHanzo ReportingHIP Reference
Scope 1Direct emissionsNone (cloud-based)N/A
Scope 2Purchased electricityTraining & inference computeHIP-260
Scope 3Value chainHardware manufacturing, data centersHIP-260

Green AI Metrics

MetricDefinitionHanzo TrackingTarget
Training emissionstCO2e per modelTracked per training run-30% YoY
Inference efficiencyTokens per kWhReal-time monitoring+50% YoY
Carbon intensitygCO2e per 1M tokensPublished in model cardsReport
PUE impactPower Usage EffectivenessData center selection criteria<1.2

AI Environmental Impact Standards

FrameworkElementHanzo Approach
ML Emissions CalculatorEstimate training emissionsIntegrated into training pipeline
Code CarbonReal-time trackingPlanned integration
Green AlgorithmsEnergy estimationBenchmarking tool
IEA GuidelinesData center efficiencyVendor selection criteria

Security & Privacy Standards

SOC 2 Type II (AI-Specific)

Trust PrincipleAI-Specific ControlHanzo ImplementationStatus
SecurityModel access controlRole-based API accessImplemented
Training data protectionEncrypted storageImplemented
Adversarial protectionInput validationImplemented
AvailabilityModel serving SLA99.9% uptime targetImplemented
Failover capabilityMulti-region deploymentImplemented
ConfidentialityPrompt confidentialityNo training on user dataImplemented
Output confidentialityLogging controlsImplemented
PrivacyPII handlingHIP-270 complianceImplemented
Data minimizationCollection limitsImplemented

Certification Status: Target 2025

ISO 27001 (Information Security)

DomainControlHanzo Implementation
A.5 Information Security PoliciesPolicy documentationHIP-200 series
A.6 Organization of InfoSecSecurity team structureDedicated team
A.8 Asset ManagementAI system inventoryMaintained registry
A.9 Access ControlAPI key managementImplemented
A.12 Operations SecurityMonitoring & logging24/7 SOC
A.14 System DevelopmentSecure SDLCAI-specific controls
A.16 Incident ManagementIncident responseHIP-200 procedures

Certification Status: Target 2025

Privacy Frameworks

FrameworkRequirementHanzo Compliance
GDPRArt. 22 (automated decisions)Human oversight option
Art. 13-14 (transparency)Disclosure provided
Art. 17 (right to erasure)Data deletion capability
Art. 35 (DPIA)Impact assessments
CCPARight to knowDisclosure available
Right to deleteDeletion capability
Right to opt-outOpt-out mechanism
ISO 27701Privacy managementPlanning certification

AI-Specific Voluntary Standards

Partnership on AI Tenets

TenetCommitmentHanzo Implementation
Safety-critical AIRigorous testingHIP-210 evaluation suite
Fairness & inclusivityBias testingHIP-220 testing framework
TransparencyPublish researchOpen publications
Labor & economyResponsible deploymentWorkforce considerations
CollaborationIndustry engagementActive PAI member

Anthropic's Responsible Scaling Policy

CommitmentDescriptionHanzo Alignment
ASL-1Basic safetyBaseline for all models
ASL-2Enhanced safetyCurrent production standard
ASL-3Advanced safetyCommitment for future capability
Eval-drivenEvaluation before capabilityPre-deployment gates

Model Cards (Mitchell et al.)

Model Card SectionRequired InfoHanzo Implementation
Model DetailsArchitecture, trainingIncluded
Intended UseUse cases, usersIncluded
FactorsRelevant attributesIncluded
MetricsEvaluation metricsIncluded
Evaluation DataTest datasetsIncluded
Training DataData descriptionIncluded
Quantitative AnalysesPerformance resultsIncluded
Ethical ConsiderationsRisks, mitigationsIncluded
CaveatsLimitationsIncluded

Standards Compliance Summary

Full Alignment

StandardStatusEvidence
NIST AI RMFAlignedHIP-200 series
OECD AI PrinciplesAlignedPolicy documentation
Partnership on AIMemberPublic commitment
Model CardsImplementedPublished with releases

In Progress

StandardGapTimeline
ISO/IEC 42001Certification processQ4 2025
SOC 2 Type IIAudit engagement2025
EU AI ActFull high-risk compliance2025

Planned

StandardDependencyTarget
ISO 27001Security controls formalization2025
ISO 27701Privacy program maturity2026

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

VersionDateChanges
1.02025-12-16Initial draft

Copyright

Copyright and related rights waived via CC0.