From 3501ea4d5882498670ffb61e173b8a4b2ced06a7 Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Tue, 10 Mar 2026 20:16:05 +0000 Subject: [PATCH] theseus: extract claims from 2025-00-00-cip-democracy-ai-year-review.md - Source: inbox/archive/2025-00-00-cip-democracy-ai-year-review.md - Domain: ai-alignment - Extracted by: headless extraction cron Pentagon-Agent: Theseus --- .../2025-00-00-cip-democracy-ai-year-review.md | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2025-00-00-cip-democracy-ai-year-review.md b/inbox/archive/2025-00-00-cip-democracy-ai-year-review.md index 5746eb0..9659741 100644 --- a/inbox/archive/2025-00-00-cip-democracy-ai-year-review.md +++ b/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