Merge branch 'main' into extract/2025-00-00-cip-democracy-ai-year-review

- Source: inbox/archive/2025-00-00-cip-democracy-ai-year-review.md
- Domain: ai-alignment
- Extracted by: headless extraction cron

Pentagon-Agent: Theseus <HEADLESS>

inbox/archive/2025-00-00-cip-democracy-ai-year-review.md

@@ -7,9 +7,14 @@ date: 2025-12-01
 domain: ai-alignment
 secondary_domains: [collective-intelligence, mechanisms]
 format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [democratic-alignment, evaluation, pluralistic, global-dialogues, weval, samiksha, empirical-results]
+processed_by: theseus
+processed_date: 2025-12-01
+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", "some-disagreements-are-permanently-irreducible-because-they-stem-from-genuine-value-differences-not-information-gaps-and-systems-must-map-rather-than-eliminate-them.md", "pluralistic-alignment-must-accommodate-irreducibly-diverse-values-simultaneously-rather-than-converging-on-a-single-aligned-state.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted 5 new claims and 4 enrichments. Primary focus: cross-partisan consensus finding (challenges irreducible disagreement thesis at evaluation layer), cultural context failure (Sri Lanka), safety benchmark gaps (mental health), democratic legitimacy crisis (58% trust AI over representatives), and scale demonstration (100K+ evaluations). Key gap identified: no evidence that Weval evaluations changed actual deployment decisions at frontier labs—adoption is documented but impact on shipped models is unclear."
 ---
 
 ## Content
@@ -61,3 +66,11 @@ CIP's 2025 outcomes across three major programs:
 PRIMARY CONNECTION: [[democratic alignment assemblies produce constitutions as effective as expert-designed ones while better representing diverse populations]]
 WHY ARCHIVED: Extends democratic alignment evidence from 1,000-participant assemblies to 10,000+ global participants with institutional adoption
 EXTRACTION HINT: Focus on cross-partisan consensus (70%+), the Sri Lanka cultural failure case, and the gap between evaluation adoption and deployment impact. The 58% "AI decides better" finding is a separate claim worth extracting.
+
+
+## Key Facts
+- CIP selected for FFWD nonprofit accelerator (2025)
+- Six deliberative dialogues across 70+ countries, 10,000+ participants
+- Weval political bias: ~1,000 participants, 400 prompts, 107 criteria
+- Samiksha: 25,000+ queries, 100,000+ evaluations, 11 Indian languages
+- Partnerships: Meta, Cohere, Taiwan MoDA, UK/US AI Safety Institutes, Anthropic, Microsoft Research, Karya