Contents

1. Systems Design Architecture

Core Objectives

The systems design layer establishes technical foundations for governance infrastructure that can scale from prototype through regional to global coordination levels while maintaining security, auditability, and human oversight.

Architecture Components

A. Distributed Governance Platform

Modular technical infrastructure enabling coordination across multiple stakeholders, jurisdictions, and organizational boundaries. Core principles: decentralization where possible, centralization only where necessary for safety.

B. Capability Monitoring Systems

Embedded measurement and assessment capabilities tracking AGI system development trajectories. Includes early warning mechanisms for concerning capability emergence, continuous benchmarking against safety thresholds, and escalation protocols triggered by defined capability milestones.

C. Auditability & Transparency Layer

Technical mechanisms enabling continuous verification of governance compliance. Includes immutable logging of governance decisions, transparent code repositories where security permits, and real-time access to monitoring data for authorized oversight bodies.

D. Failsafe & Reversibility Mechanisms

Architectural provisions enabling rapid modification or reversal of governance decisions based on evidence. Includes decision documentation preserving rationales and assumptions, staged implementation allowing course correction, and contingency protocols for system failures.

Scalability Pathways

Security Considerations

2. Organizational Structures

Core Principles

Organizational design balances need for rapid decision-making with requirements for deliberation, multi-stakeholder input, and democratic accountability. Separates technical, organizational, and policy-level governance functions.

Decision-Making Frameworks

Technical Council

Rapid assessment of technical feasibility, safety requirements, and system capabilities. Includes AI safety researchers, systems engineers, and technical experts. Makes recommendations to policy bodies but does not unilaterally impose technical decisions.

Policy Council

Deliberative body integrating technical input with regulatory, ethical, and strategic considerations. Includes government representatives, policy experts, ethicists, and public interest advocates. Makes binding decisions on AGI governance within defined authorities.

Multi-Stakeholder Board

Oversight body representing diverse stakeholders including industry, academic institutions, civil society, and affected communities. Provides accountability mechanism, reviews governance decisions for alignment with public values, and identifies unintended consequences.

Appeals & Review Body

Independent mechanism for reviewing governance decisions, hearing challenges, and providing remedies when processes fail. Ensures due process protections and prevents arbitrary application of governance rules.

Accountability Mechanisms

Escalation Pathways

Clear procedures for addressing conflicts, novel issues, and crises that exceed normal decision-making authorities. Defined thresholds triggering escalation to higher oversight levels, with corresponding authority to act decisively during emergencies.

3. Web Infrastructure

Technical Stack Recommendations

Frontend Layer

Modern web frameworks (React, Vue.js) enabling responsive user interfaces across devices. Focus on accessibility, security, and usability. Open-source components where possible to enable community verification and contribution.

Backend Architecture

Microservices-based architecture enabling independent scaling and deployment of governance functions. Use containerization (Kubernetes) for orchestration. API-first design enabling integration with other institutional systems and future expansion.

Data Governance Model

Structured data storage distinguishing between public governance information (open access), sensitive governance data (restricted access), and personal information (protected by privacy regulations). Use encryption at rest and in transit. Implement data retention policies and secure deletion procedures.

Access Control System

Role-based access control (RBAC) with principle of least privilege. Multi-factor authentication for sensitive operations. Detailed audit logging of all data access. Regular access reviews ensuring authorization remains appropriate.

Interoperability Standards

Auditability Features

4. Community Engagement

Participation Models

Expert Consultation

Formal mechanisms for soliciting input from AI safety researchers, domain experts, ethicists, and policy specialists. Regular expert panels, advisory committees, and peer review processes ensuring decisions incorporate cutting-edge knowledge.

Stakeholder Engagement

Regular forums bringing together industry, academic institutions, government, civil society, and affected communities. Public comment periods on major governance proposals. Structured mechanisms for integrating diverse perspectives.

Public Education

Accessible public information on AGI governance, key issues, and decision-making processes. Educational resources enabling informed public participation. Transparent communication about governance activities and rationales.

Feedback Integration

Formal processes for reviewing community feedback and explaining how input influenced governance decisions. Mechanisms for surfacing unforeseen consequences of policies. Regular reassessment of governance approaches based on implementation experience.

Preventing Institutional Capture

5. Singularity-Positive Outcome Criteria

Evaluation framework for assessing whether governance systems and specific decisions advance toward positive AGI outcomes while mitigating catastrophic risks.

Safety Alignment

Does this advance AI safety and reduce misalignment risk? Evaluated through impact on research funding, safety mechanism requirements, and capability monitoring systems.

Human Agency

Does this preserve meaningful human oversight and decision-making? Assessed through mechanisms ensuring human choice remains central to critical decisions about AGI development and deployment.

Coordination

Does this improve international and cross-organizational cooperation? Evaluated through effectiveness of mechanisms enabling countries and institutions to coordinate on AGI governance.

Knowledge Distribution

Does this prevent dangerous concentration of AGI capabilities? Assessed through mechanisms ensuring AGI development capabilities and benefits are distributed rather than concentrated.

Reversibility

Are decisions reversible if outcomes diverge from intent? Evaluated through governance architecture enabling course correction and modification as understanding improves.

Adaptability

Can systems evolve as understanding improves? Assessed through mechanisms enabling governance frameworks to adapt based on implementation experience and new evidence.

Inclusivity

Do governance structures represent diverse human values and interests? Evaluated through participation of varied stakeholders and integration of diverse perspectives in decision-making.

Implementation Feasibility

Are solutions technically achievable and resource-appropriate? Assessed through realistic evaluation of what can be implemented with available resources and current capabilities.

6. Implementation Realism Checklist

For developers and institutions implementing this framework, ensure all solutions meet these practical criteria:

Technically Achievable

Implementable with current technology stack, tools, and development practices. Does not require breakthrough innovations or specialized infrastructure not currently available.

Scalable Architecture

Can prototype locally within single institutions, scale to regional coordination, and expand to global level. Does not create bottlenecks preventing growth.

Modular Design

Each component functions independently; can integrate progressively without requiring all components simultaneously. Enables incremental implementation.

Open-Source Ready

Designed for transparency and community contribution. Uses standard open-source practices and licenses enabling broad participation and verification.

Resource Appropriate

Does not require unlimited budget or access to specialized talent pools. Scalable costs correlating with governance scale. Leverage existing institutional resources where possible.

Maintainable

Clear documentation, standard development practices, and knowledge transferability enabling different teams to maintain and extend systems over time.

Development Workflow

  1. Identify your specific governance problem or scope
  2. Apply the mapping framework to understand technical, organizational, societal, and temporal dimensions
  3. Gather perspectives from multiple stakeholder groups
  4. Synthesize requirements addressing all dimensions
  5. Stress-test proposed solutions against outcome criteria
  6. Verify realism constraints for your implementation context
  7. Iterate: loop back to constraint identification as proposals mature