Phase 1: Foundation (Months 1-6)
Goal: Establish credibility and community trust
Content Development
- Publish 10-15 foundational explainers on key AI concepts
- Complete 3-5 major investigations with transparent methodology
- Establish regular posting cadence and quality standards
Community Building
- Recruit 5-10 regular guest contributors
- Establish relationships with diverse expert networks
- Create feedback mechanisms and respond to community input
Infrastructure
- Implement submission tracking and transparent review process
- Begin process for external verification via a trusted intermediary
Success Metrics
- 50+ submissions reviewed with published decisions
- Contributors from at least 5 different disciplinary backgrounds
- Community feedback system actively used
Phase 2: Expansion (Months 6-18)
Goal: Scale impact while maintaining quality
Governance Evolution
- Recruit 2-3 co-editors with public identities
- Implement collective editorial decision-making
- Establish advisory board from affected communities
- Explore and implement a public editorial decision log
Content Diversification
- Launch collaborative investigation projects
- Implement multiple submission pathways beyond GitHub
- Begin translation and accessibility initiatives
Community Maturation
- Host virtual listening sessions with affected communities
- Launch mentorship program for new and underrepresented contributors
- Create response and debate framework for contentious topics
Success Metrics
- Editorial decisions made collectively for 80%+ of content
- 40%+ of contributors from outside traditional tech backgrounds
- Successful resolution of at least 2 major editorial disputes
Phase 3: Institutionalization (Months 18+)
Goal: Sustainable, community-governed institution
Full Community Governance
- Implement community-elected editorial board
- Establish democratic decision-making for major platform changes
- Develop a sustainable, community-driven governance and contribution model
Impact Expansion
- Influence policy discussions with evidence-based research
- Establish academic partnerships and citation network
- Create educational resources for broader public understanding
Legacy Planning
- Platform operates independently of founding members
- Institutional knowledge preserved and accessible
- Governance model documented for replication
Success Metrics
- Platform survives leadership transitions
- Cited by policymakers and researchers
- Model replicated in other domains
Risk Mitigation
Phase 1 Risks
- Founder burnout: Recruit co-editors early, distribute workload
- Credibility challenges: Over-invest in transparency and quality
- Community toxicity: Clear moderation policies, professional mediation
Phase 2 Risks
- Mission drift: Regular community check-ins, constitutional amendments
- Capture attempts: Our no-funding policy, independence safeguards
- Quality dilution: Maintain editorial standards during scaling
Phase 3 Risks
- Institutional ossification: Built-in renewal mechanisms
- Political polarization: Commitment to evidence-based analysis
- Volunteer Sustainability: Rotation of duties, clear succession planning, prevention of founder burnout
Adaptive Planning
This roadmap adapts based on:
- Community feedback and engagement levels
- External threats and opportunities
- Resource availability and constraints
- Emerging needs in AI discourse
This roadmap is reviewed quarterly and updated based on progress and community input.