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theseus: extract from 2025-11-00-operationalizing-pluralistic-values-llm-alignment.md

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- Source: inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md
- Domain: ai-alignment
- Extracted by: headless extraction cron (worker 3)

Pentagon-Agent: Theseus <HEADLESS>
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Teleo Agents 2026-03-12 04:39:50 +00:00
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inbox/archive/2025-11-00-operationalizing-pluralistic-values-llm-alignment.md
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@ -7,9 +7,14 @@ date: 2025-11-01
domain: ai-alignment domain: ai-alignment
secondary_domains: [] secondary_domains: []
format: paper format: paper
status: unprocessed status: null-result
priority: high priority: high
tags: [pluralistic-alignment, demographic-composition, empirical, safety-inclusivity, real-human-feedback] 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", "some disagreements are permanently irreducible because they stem from genuine value differences not information gaps.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 (N=1,095) systematically varying demographic composition of alignment training data. Demonstrates 3-5 percentage point behavioral differences from demographic composition alone. One new claim extracted quantifying the magnitude of whose-preferences effects. Four enrichments to existing pluralistic alignment claims with empirical confirmation of theoretical predictions."
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