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theseus: extract from 2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md

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- Source: inbox/archive/2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md
- Domain: ai-alignment
- Extracted by: headless extraction cron (worker 4)

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inbox/archive/2025-08-00-oswald-arrowian-impossibility-machine-intelligence.md
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@ -7,9 +7,14 @@ date: 2025-08-07
domain: ai-alignment
secondary_domains: [critical-systems]
format: paper
status: unprocessed
status: null-result
priority: high
tags: [arrows-theorem, machine-intelligence, impossibility, Legg-Hutter, Chollet-ARC, formal-proof]
processed_by: theseus
processed_date: 2026-03-11
enrichments_applied: ["specifying human values in code is intractable because our goals contain hidden complexity comparable to visual perception.md", "designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm.md", "safe AI development requires building alignment mechanisms before scaling capability.md"]
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "Fourth independent impossibility tradition extending Arrow's theorem from preference aggregation to intelligence measurement. Strengthens convergent impossibility pattern across social choice, complexity theory, multi-objective optimization, and now measurement theory. Full paper paywalled—proof technique and constructive workarounds unknown. High significance for alignment discourse."
---
## Content
@ -41,3 +46,10 @@ No agent-environment-based MIM simultaneously satisfies analogs of Arrow's fairn
PRIMARY CONNECTION: universal alignment is mathematically impossible because Arrows impossibility theorem applies to aggregating diverse human preferences into a single coherent objective
WHY ARCHIVED: Fourth independent impossibility tradition — extends Arrow's theorem from alignment to intelligence measurement itself
EXTRACTION HINT: Focus on the extension from preference aggregation to intelligence measurement and what this means for alignment targets
## Key Facts
- Paper published at AGI 2025 Conference (Springer LNCS vol. 16058)
- Authors: Oswald, J.T., Ferguson, T.M., & Bringsjord, S. (RPI)
- Affected measures: Legg-Hutter Intelligence, Chollet's Intelligence Measure (ARC)
- Arrow conditions tested: Pareto Efficiency, Independence of Irrelevant Alternatives, Non-Oligarchy