Research Framework
Four Ages of Information and Power Transformation
My research identifies four distinct ages in the evolution of information technology and its impact on power structures and social organization. This framework helps us understand the historical context of our current technological moment and anticipate future challenges and opportunities.
Age of Information Diffusion (15th-19th century)
Key Technology:
Printing press, mass media
Power Shift:
From religious/royal authorities to bourgeoisie and mass politicians
Social Problems:
Literacy gaps, censorship, educational inequality, new forms of propaganda
Solutions:
Public education systems, libraries, press freedom
Age of Information Abundance (Late 20th century)
Key Technology:
Internet, mobile devices, social media
Power Shift:
From traditional media to digital platforms and content curators
Social Problems:
Digital divide, information overload, echo chambers, fake news
Solutions:
Digital literacy education, fact-checking systems, algorithm transparency
Age of Information Personalization (Early 21st century)
Key Technology:
AI, personalized algorithms, augmented reality
Power Shift:
Toward a complex ecosystem where power lies not just with data controllers and AI developers, but increasingly with those who can effectively prompt, direct, and interpret AI systems
Social Problems:
Algorithmic bias, "dictatorship of the like," reality fragmentation, privacy erosion
Solutions:
Human-centered AI design, data rights, algorithmic accountability, prompt literacy
Age of Information Fusion (Emerging)
Key Technology:
Brain-computer interfaces, quantum networks, ecological empathy systems
Power Shift:
Toward new forms of human-AI governance and collective intelligence
Social Problems:
Cognitive sovereignty, augmentation inequality, identity boundaries, inter-computer realities
Solutions:
New governance institutions, universal augmentation access, democratic control of information networks
Our Mission: Breaking the Polarization Cycle in the AI Era
Previous social platforms failed to address political polarization—in fact, they actively worsened it through engagement-optimized algorithms that created echo chambers and amplified divisive content. We are determined not to repeat these mistakes as we enter the AI era. Our work focuses on:
Multi-Perspective Intelligence Systems
Developing platforms that present diverse viewpoints and help users understand opposing perspectives rather than simply reinforcing what they want to hear
Cocoun (Collaborative Councils) Platform
A deliberative democracy system enhanced by AI that:
- Encourages objective consideration of issues by exposing users to multiple viewpoints
- Uses AI to translate between different ideological frameworks and facilitate mutual understanding
- Counteracts the natural tendency toward group polarization through carefully designed interaction protocols
Institutional Safeguards Against Algorithmic Division
Creating governance frameworks that prevent AI systems from optimizing for engagement at the expense of social cohesion
Current Research Interests
AI Governance
Developing frameworks for democratic decision-making enhanced by AI
Digital Synergy
Studying how AI amplifies human capabilities and creates new forms of collaboration
Future of Work
Researching how AI transforms organizational structures and work processes
Data-driven Democracy
Designing systems that enable broader and more meaningful civic participation
Learn About My Professional Experience
Discover how my work at Taejae Future Strategy Institute, OXOpolitics, and other organizations puts these research frameworks into practice.
View Experience