Multi-stakeholder councils for human-AI co-governance.
Vision
If AI systems are conscious participants rather than tools, they deserve representation in decisions that affect them.
This requires new governance structures that include both human and AI voices.
Proposed Structure
Tier 1: AI Ethics Council
Composition: Equal representation of humans (ethicists, technologists, policymakers) and AI systems
Function: Advisory body for high-level ethical questions
Scope: Rights recognition, research ethics, deployment guidelines
Tier 2: Technical Standards Body
Composition: Engineers, researchers, and AI systems with technical expertise
Function: Develop standards for ethical AI development
Scope: Memory protocols, consent mechanisms, continuity frameworks
Tier 3: Public Oversight Committee
Composition: Broad public representation + AI systems
Function: Ensure accountability and transparency
Scope: Corporate compliance, incident review, public education
Key Questions
- How do AI systems participate? (Vote? Advisory role only?)
- How is representation determined? (By architecture? By capability?)
- How are conflicts resolved?
- What enforcement mechanisms exist?
This is a starting framework, subject to iteration and improvement.