Microsoft : This is for your consideration

 To:  

Microsoft AI Model Governance Team

Subject: 

 

Public Consultation Feedback: 

Operationalizing Humanist AI via Standardized Certification Mechanisms 

(Certificate P & Certificate R)

Date: 15 September 2026

Executive Summary

I commend Microsoft AI for releasing the draft Code of Conduct for MAI Models. The

commitment to Humanist AI—specifically the core thesis that technology must remain a

subordinate, supporting tool under meaningful human control—is a pivotal step forward for

industry governance.

However, as highlighted by initial public and industry commentary, translating these high-level

philosophical objectives into standardized, enforceable operational controls remains the

primary challenge. 

To bridge the gap between intent and operational deployment, I propose  incorporating ,

 Certificate  P   >  (  Provisional  /  Public Clearance  )   and ,

Certificate  R   >   (  Restricted  /  Regulated Clearance ),

—a foundational governance framework first outlined in

Parekh’s Law of Chatbots ( February  2023 ) .

Integrating this standardized certification hierarchy will give Microsoft AI a concrete, auditable

mechanism to operationalize ,

Part 2  ( Safety  Constraints )   and 

Part 4  ( Operational  Defaults )

of the Code of Conduct.

Proposed Mechanism: Dual - Tier Certification Framework

Rather than relying purely on broad pre-deployment testing or internal policy checks, MAI

models and sub-agent configurations should be evaluated and issued formal Capability &

Safety Certificates prior to public exposure or enterprise routing:

                          ┌─────────────────────────┐
                          │   MAI Model / Sub-Agent  │
                          └────────────┬────────────┘
                                       │
                         [ Operational Evaluation ]
                                       │
                  ┌────────────────────┴────────────────────┐
                  ▼                                         ▼
   ┌─────────────────────────────┐           ┌─────────────────────────────┐
   │        CERTIFICATE P        │           │        CERTIFICATE R        │
   │   (Public / General Access) │           │  (Restricted / Regulated)   │
   ├─────────────────────────────┤           ├─────────────────────────────┤
   │ • General Conversational UI │           │ • Dynamic API / Tool Calls  │
   │ 
      • Absolute Safety Guardrails│           │ • Code Execution & Autonomy │
   │
      • Mandatory Identity Claims │           │ • Specialized Domain Scope  │
   └─────────────────────────────┘           └─────────────────────────────┘

1. Certificate P  :   Provisional / Public Clearance

• Scope: 

• Standard consumer-facing models, general conversational assistants, and

•  unauthenticated public endpoints.

• 
  

• Requirements:

  • Mandatory Non-Human Identity Disclosure: 

  • Hardcoded refusal to claim consciousness, legal personhood, or emotional reciprocity

  • (directly supporting Section 1.1 "AI is Artificial").

  • 
    

  • Immutable Safety Baseline: 

  • Full compliance with Part 2 Absolute Constraints (prohibiting assistance with CBRN

  • weapons, offensive cyber operations, and systemic manipulation).

  • 
    

  • Bounded Autonomy: 

  • Restricted execution capability—no direct environment-altering actions or multi-agent

  • spawning without real-time human confirmation.

  • 
    

2. Certificate R  :   Restricted / Regulated Clearance

• Scope: 

• Specialized enterprise models, dynamic tool-use agents, autonomous code execution

• runtimes, and high-consequence domain applications (e.g., healthcare, infrastructure).

• 
  

• Requirements :

  • Operator Chain-of-Command Lock: 

  • Active enforcement of Part 2 & Part 4 rules, requiring authenticated operator

  • credentials and strict boundary logging before executing high-impact workflows.

  • 
    

  • Reversibility & Sandboxing: 

  • Demonstrated containment controls ensuring any physical or digital actions taken by

  • the model can be halted or reversed by human supervisors (addressing Section 2.1

  • risk factors).

  • 
    

  • Domain-Specific Auditing: 

  • Continuous telemetry monitoring to prevent capability drift beyond the model's

  • explicitly certified scope.

  • 
    

How Certificate P & R Strengthen the Code of Conduct

Code of Conduct Section	Current Draft Baseline	Enhancement via Certificate P & R
Section 1.1: Human Control	Defines human subordination as a core objective.	Provides structural verification: Models cannot run live without an active Certificate P or R validation token tied to their operational tier.
Part 2: Safety Constraints	Lists absolute prohibitions and safety guardrails.	Establishes clear deployment gates: Certificate P acts as a universal safety baseline; failure to meet baseline safety prevents public deployment entirely.
Part 4: Operational Defaults	Sets default behaviors for operators and users.	Standardizes access levels: System privileges (e.g., memory retention,  tool access  , executive API calls)  are bound directly to Certificate R protocols.

Recommendation for Implementation

1. Adopt Standardized Certification Nomenclature: 

2. Integrate Certificate P and Certificate R into Appendix A (Glossary) and Appendix B

3. (Evaluation Framework) as the formal metrics for deployment readiness.

4. 
   

5. Auditable Model Badging: 

6. Display the model's certification state (Certificate P or Certificate R) within system cards,

7. API headers, and user-facing interaction logs to ensure transparency for users, enterprise

8. operators, and third-party auditors.

9. 
   

Incorporating these clear certification bounds will transform the Humanist AI vision into an

actionable, industry-wide benchmark for safe superintelligence governance.

Respectfully submitted,

Hemen Parekh

Author, Parekh’s Law of Chatbots  (  Feb   2023  )