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Deliberative Polling
webcdd.stanford.edu·cdd.stanford.edu/what-is-deliberative-polling/
Relevant to AI governance and alignment discussions around how to solicit meaningful public input on AI policy; deliberative methods could inform how democratic societies make collective decisions about AI development and deployment.
Metadata
Importance: 38/100homepageeducational
Summary
Deliberative Polling is a democratic process developed at Stanford's Center for Deliberative Democracy that brings together a representative sample of citizens to deliberate on policy issues with balanced information and expert input. The method aims to reveal what the public would think if given the opportunity to become genuinely informed and engage in structured dialogue. It has been used in over 100 projects worldwide to improve democratic decision-making on contentious issues.
Key Points
- •Combines random sampling with structured deliberation to capture informed public opinion rather than raw, unreflective preferences
- •Participants receive balanced briefing materials and engage with competing experts/stakeholders before and after deliberation
- •Designed to counter polarization and misinformation by exposing participants to diverse, high-quality information
- •Results often show significant opinion shifts, demonstrating that informed deliberation can bridge partisan divides
- •Used in governance contexts globally as a tool for legitimate, evidence-based public consultation on complex policy issues
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI-Accelerated Reality Fragmentation | Risk | 28.0 |
Resource ID:
63b242b3de51d9df | Stable ID: ZmQ0OWYxYW