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:
Regulators: EU AI Act, emerging US AI regulations
Enterprise customers: AI governance requirements in procurement
Investors: ESG criteria for AI investments
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
Art. 13-14 (transparency)
Disclosure provided
Art. 17 (right to erasure)
Data deletion capability
Art. 35 (DPIA)
Impact assessments
CCPA
Right to know
Disclosure available
Right to delete
Deletion capability
Right to opt-out
Opt-out mechanism
ISO 27701
Privacy management
Planning certification
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)