Mission & Vision

Shaping the future of artificial intelligence to serve democratic values and human collective intelligence.

Our Mission

To advance democratic artificial intelligence through rigorous research on human-AI collective intelligence, developing frameworks that preserve human agency while enabling collaborative decision-making between humans and AI systems at scale.

Our Vision

We envision a future where artificial intelligence systems are designed, deployed, and governed through democratic processes that amplify human collective intelligence rather than replacing human judgment.

In this future, AI serves as a powerful tool for enhancing democratic participation, enabling more informed decision-making, and fostering inclusive governance structures that represent diverse perspectives and values.

Core Objectives

Research Excellence

Conduct cutting-edge interdisciplinary research at the intersection of artificial intelligence, cognitive science, political science, and public policy.

  • • Publish peer-reviewed research in top-tier journals
  • • Develop novel theoretical frameworks
  • • Create empirical datasets for the research community

Policy Innovation

Translate research findings into actionable policy recommendations for democratic AI governance.

  • • Develop governance frameworks for AI systems
  • • Advise policymakers on AI regulation
  • • Create implementation guidelines for institutions

Public Engagement

Foster public understanding and participation in AI governance through education and outreach.

  • • Develop educational resources for diverse audiences
  • • Facilitate public dialogue on AI governance
  • • Train the next generation of AI policy leaders

Global Collaboration

Build international partnerships to address the global challenges of AI governance.

  • • Collaborate with international research institutions
  • • Participate in global AI governance initiatives
  • • Share research and best practices worldwide

Theory of Change

1

Research & Analysis

Conduct rigorous empirical research on human-AI interaction patterns, democratic decision-making processes, and collective intelligence mechanisms.

2

Framework Development

Translate research findings into practical frameworks, tools, and policies that can be implemented by institutions and policymakers.

3

Implementation & Impact

Support the adoption of democratic AI governance practices through training, consultation, and ongoing evaluation of implemented systems.