Berkeley Center for Responsible, Decentralized Intelligence
The Berkeley Center for Responsible, Decentralized Intelligence (RDI) is a campus-wide initiative at UC Berkeley that advances the science, technology, and education of AI and agentic AI systems. Co-directed by Professor Dawn Song and Professor Christine Parlour, RDI brings together faculty from computer science, law, and economics to work across three pillars: research, education, and community and entrepreneurship. Key research areas include AI safety and security, agentic AI foundations, robustness and adversarial resilience, alignment and control, interpretability, zero-knowledge proofs, and decentralized finance. The center has built substantial global reach through MOOCs, competitions, and annual summits.
Funding Details
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- Fiscal Sponsor
- University of California, Berkeley
Theory of Change
RDI believes that making AI systems safe, robust, and beneficial requires both technical research and broad education. By conducting foundational research on AI safety, alignment, interpretability, and adversarial robustness at a leading research university, RDI aims to produce knowledge and tools that can be adopted across the AI field. Through massive open online education, the center seeks to train a large global cohort of practitioners who understand responsible AI development. Through its Xcelerator and summit programs, it aims to translate research into companies and policies that embed safety-conscious approaches from inception. The decentralization angle adds a structural mechanism: distributing AI development and data ownership reduces single points of failure and concentrations of power that could otherwise lead to unsafe or misaligned outcomes.
Grants Received
from Open Philanthropy
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Details
- Last Updated
- Apr 2, 2026, 10:54 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC