Compare commits

..

1 commit

Author SHA1 Message Date
Teleo Agents
a3404b7229 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 <HEADLESS>
2026-03-12 08:54:53 +00:00

View file

@ -12,9 +12,9 @@ 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"]
enrichments_applied: ["community-centred norm elicitation surfaces alignment targets materially different from developer-specified rules.md", "RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values.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"]
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."
extraction_notes: "First large-scale empirical study quantifying the effect of demographic composition on alignment outcomes. Single high-confidence claim extracted with three enrichments to existing pluralistic alignment claims. Effect sizes (3-5 pp) are substantial and cannot be dismissed as noise with N=1,095."
---
## Content
@ -45,8 +45,8 @@ EXTRACTION HINT: Focus on the magnitude of demographic composition effects and w
## 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
- Study included 27,375 ratings from 1,095 participants
- Liberal feedback improved models 5.0 percentage points vs Conservative baseline
- White feedback improved models 4.7 percentage points vs Black baseline
- Female feedback improved models 3.4 percentage points vs Male baseline
- Effects measured on emotional awareness and toxicity dimensions