Extending constitutional AI principles for democratic societies through rigorous research and practical implementation.
Building on Anthropic's groundbreaking constitutional AI framework, we explore how to extend these principles for real-world democratic applications.
Developing frameworks that ensure AI systems respect and strengthen democratic institutions rather than undermining them.
Leveraging statistical methodology to improve constitutional AI training, validation, and deployment. Our approach combines mathematical rigor with practical insights from democratic institutions to create more robust and accountable AI systems.
Exploring mechanisms that enable AI to surface diverse perspectives and challenge assumptions rather than reinforcing existing biases or manufacturing artificial agreement.
Defining and implementing civic values like transparency, accountability, and public service in AI systems, moving beyond abstract principles to concrete technical implementations.
Developing technical frameworks that make AI decision-making processes transparent, auditable, and subject to democratic oversight without compromising system effectiveness.
Applying advanced statistical methods to enhance the robustness and reliability of constitutional constraints in AI systems, ensuring they genuinely reflect intended values.
A framework for implementing democratic values as constitutional constraints in AI systems.
Coming SoonTechnical analysis of implementing constitutional AI principles in a real-world news aggregation system.
In DevelopmentMethods for statistically verifying that AI systems adhere to specified constitutional principles.
ForthcomingResearch papers and detailed case studies will be published here as they become available.
We're particularly interested in collaborating with researchers and organizations working on:
Join us in building AI systems that serve democracy and public interest.