Combining mathematical rigor with democratic institutional insights to build AI that serves public interest.
Data scientist bridging the gap between theoretical AI safety and practical democratic implementation
Founder & Principal Researcher
Our founder brings a unique perspective to constitutional AI research, combining deep statistical expertise with practical understanding of democratic institutions and governance.
They recognized the critical need for AI systems that prioritize transparency, evidence-based evaluation, and democratic accountability.
This work emerged from examining the limitations of engagement-optimized systems in contexts where evidence quality and institutional accountability matter—leading to the founding of Canthropic as an independent applied research initiative.
Statistical Rigor
Mathematical precision in AI safety
Institutional Perspective
Democratic systems knowledge
AI Safety Focus
Constitutional AI implementation
While Canthropic is currently led by its founder, we actively seek collaboration with researchers, developers, and organizations who share our vision for constitutional AI that serves democratic values.
Academic Partnerships
Collaborating with universities on constitutional AI research
Technical Contributors
Working with developers to implement democratic AI systems
Policy Advisors
Engaging with policy makers on AI governance
Join Us in Building Constitutional AI
Whether you're a researcher, developer, or organization interested in democratic AI, we'd love to hear from you.
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