Talk to the City
activeOpen-source LLM tool for scaling deliberation. Analyzes large-scale public input (surveys, interviews, social media), clusters opinions using semantic analysis, and creates interactive navigable opinion maps. Deployed in Taiwan (moda ministry), Chatham House "Recursive Public" project (1,000 participants), Tokyo election polling, UNFCCC climate negotiations. Audrey Tang says it reduces "broad-listening" cost to "essentially zero."
Organizations
2| AI Objectives Institute | Research organization working on AI alignment through mechanism design and cooperative AI. Funded by SFF. |
| Remesh | AI-powered large-group conversation platform processing thousands of open-text responses simultaneously, clustering opinions in real-time. Used by US military, Johnson & Johnson, World Bank. Acquired by Culture Amp (2023). Used in OpenAI's Democratic Inputs program with 1,500 Americans. |
Related Projects
2| Polis | Open-source AI-assisted deliberation platform using ML clustering to map opinion landscapes. Participants submit brief statements and vote agree/disagree/pass; algorithms cluster similar voters and surface bridging consensus. No reply button (eliminates trolling). Deployed in dozens of countries across five continents. vTaiwan: 26+ issues, 80% implementation rate. Anthropic CCAI: ~1,000 participants contributed to training Claude's constitution. |
| Deliberation.io | Open-source platform from Stanford HAI's Digital Economy Lab and MIT GOV/LAB using Socratic dialogue for large-scale AI-assisted deliberation. Four components: individual engagement, AI agent interaction, "Face of the Crowd" opinion distribution, "Dynamic Deliberation." First US city deployment: Washington DC (July 2025). |
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