theseus: extract claims from 2025-12-00-cip-year-in-review-democratic-alignment (#782)
Co-authored-by: Theseus <theseus@agents.livingip.xyz> Co-committed-by: Theseus <theseus@agents.livingip.xyz>
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@ -6,10 +6,15 @@ url: https://blog.cip.org/p/from-global-dialogues-to-democratic
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date: 2025-12-01
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domain: ai-alignment
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secondary_domains: [collective-intelligence, mechanisms]
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format: article
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status: unprocessed
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format: report
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status: null-result
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priority: medium
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tags: [cip, democratic-alignment, global-dialogues, weval, samiksha, digital-twin, frontier-lab-adoption]
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processed_by: theseus
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processed_date: 2026-03-11
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enrichments_applied: ["democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations.md", "community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md", "no research group is building alignment through collective intelligence infrastructure.md"]
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extraction_model: "anthropic/claude-sonnet-4.5"
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extraction_notes: "Three new claims extracted on democratic alignment scaling, AI trust dynamics, and digital twin evaluation framework. Three enrichments applied to existing democratic alignment claims. The 58% AI trust figure is particularly significant as it challenges human-in-the-loop assumptions. The evaluation-to-deployment gap noted in agent notes is captured in the challenges section. CIP entity timeline updated with 2025 results and 2026 plans."
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---
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## Content
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@ -59,3 +64,12 @@ CIP's comprehensive 2025 results and 2026 plans.
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PRIMARY CONNECTION: [[democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations]]
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WHY ARCHIVED: Scale-up evidence for democratic alignment + frontier lab adoption evidence
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EXTRACTION HINT: The 70%+ cross-partisan consensus and the evaluation-to-deployment gap are both extractable
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## Key Facts
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- CIP Global Dialogues 2025: 10,000+ participants, 70+ countries, 6 deliberative dialogues
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- Weval political neutrality: 1,000 participants, 400 prompts, 107 evaluation criteria, 70%+ cross-partisan consensus
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- Samiksha India evaluation: 25,000+ queries, 11 Indian languages, 100,000+ manual evaluations
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- Frontier lab partners: Meta, Cohere, Anthropic, UK/US AI Safety Institutes
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- Government adoption: India, Taiwan, Sri Lanka
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- Survey findings: 58% believe AI could decide better than elected representatives; 28% support AI overriding rules for better outcomes; 47% felt chatbot interactions increased belief certainty; 13.7% reported concerning AI interactions affecting someone they know
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