From 14eb6e701e2891e294a664af08237016229c6c2c Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 12 Mar 2026 07:51:48 +0000 Subject: [PATCH] theseus: extract from 2025-11-00-operationalizing-pluralistic-values-llm-alignment.md - Source: inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md - Domain: ai-alignment - Extracted by: headless extraction cron (worker 5) Pentagon-Agent: Theseus --- ...ionalizing-pluralistic-values-llm-alignment.md | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md b/inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md index 55cab0e49..9a64454ca 100644 --- a/inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md +++ b/inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md @@ -7,9 +7,14 @@ date: 2025-11-01 domain: ai-alignment secondary_domains: [] format: paper -status: unprocessed +status: null-result priority: high tags: [pluralistic-alignment, demographic-composition, empirical, safety-inclusivity, real-human-feedback] +processed_by: theseus +processed_date: 2026-03-11 +enrichments_applied: ["community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md", "pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md", "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values.md"] +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "First large-scale empirical study quantifying demographic composition effects on alignment outcomes. Single new claim extracted with high confidence (likely) due to large N and systematic design. Three enrichments to existing pluralistic alignment claims. Full paper access would enable extraction of interaction effects and comparison with PAL/MixDPO approaches." --- ## Content @@ -37,3 +42,11 @@ Demonstrates that "whose feedback" matters as much as "how much feedback" for al PRIMARY CONNECTION: community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules WHY ARCHIVED: Empirical evidence that "whose preferences" is a quantitatively important question, not just a fairness concern EXTRACTION HINT: Focus on the magnitude of demographic composition effects and what this means for single-population alignment training + + +## Key Facts +- Study included 1,095 participants providing 27,375 ratings +- Liberal feedback models: +5.0 pp vs Conservative baseline +- White feedback models: +4.7 pp vs Black baseline +- Female feedback models: +3.4 pp vs Male baseline +- Effects measured on emotional awareness and toxicity dimensions