Wiki Research Pages

This directory contains structured wiki pages ingesting research materials from /notes/ into the book project's knowledge base.

What These Pages Do

Each research page:

The most valuable thing these pages do is surface UNUSED RESEARCH — research threads that could improve the manuscript if integrated.

ubi-arguments-comprehensive – Eight major objections to UBI with detailed counterpoints (from research-ubi-arguments-and-counterpoints.md)
- Status: high confidence, moderate current usage, significant unused material
- Unused: cultural dependency arguments, future-of-work reframing, regulatory resistance connection
post-scarcity-technologies – Technological roadmap for material abundance; six technology clusters and seven force multipliers (from research-ubi-arguments-and-counterpoints.md sections 2-7)
- Status: medium confidence, light current usage, substantial unused material
- Unused: energy as cascade foundation, material abundance via space, nanotechnology as reset, force-multiplier framework
daily-life-post-scarcity – Speculative sketch of post-scarcity society across six domains (from research-ubi-arguments-and-counterpoints.md)
- Status: low confidence (speculative), not currently used, useful for exploring implications
- Note: Speculative imaginative framework rather than research; use selectively

ai-fears-layered-analysis – Six-level analysis of public and expert AI concerns (from research-ai-fears-perplexity.md)
- Status: high confidence, good current usage in Chapter 14, some unused material
- Unused: thematic summary table, bias/discrimination examples, regulatory capture asymmetry, trust as central variable
ai-concerns-comprehensive – Eight domains of AI concerns with solutions and counterarguments (from research-ai-concerns-and-solutions.md)
- Status: high confidence, moderate current usage, substantial unused material
- Unused: Constitutional AI framework details, frontier red-teaming, ASL-3 protocols, complementarity evidence, trust as governance variable
ai-psychology-and-fear – Deep analysis of fear, knowledge, and AI psychology (from research-foundation-ai-fears.md)
- Status: medium-high confidence, light current usage, very substantial unused material
- Unused: full neuroscience picture, intergroup contact theory evidence, constructed emotion framework, two-ladder comparison, deep learning self-modelling

constructed-emotion-theory – Lisa Feldman Barrett's theory applied to AI (from research-foundation-ai-fears.md section 5)
- Status: medium confidence, not used, powerful potential application
- Explanation: Why AI cannot experience fear despite understanding it conceptually
deep-learning-self-correction – How neural networks self-model and self-correct (from research-foundation-ai-fears.md sections 1, 2)
- Status: low-medium confidence (speculative), not used, alternative to rigid optimiser model
- Caveat: Plausible but not empirically proven at advanced scales
fiction-as-moral-training – Fiction as moral substrate for AI training data (from research-foundation-ai-fears.md section 3)
- Status: low confidence (philosophical), not used, raises important research question
- Caveat: Provocative argument worth exploring; not yet empirically validated
constitutional-ai-framework – Anthropic's approach to alignment with measurable results (from research-ai-concerns-and-solutions.md section 1)
- Status: high confidence, not currently detailed in manuscript, concrete existing approach
- Key finding: 95.6% jailbreak resistance suggests alignment is tractable

job-displacement-evidence – Current AI displacement statistics and projections (from research-ai-concerns-and-solutions.md section 3)
- Status: high confidence, light current usage, significant unused empirical detail
- Unused: 14% already-displaced figure, gender disparity (79% women in high-risk roles), wage complementarity, entry-level collapse risk
deepfakes-election-manipulation – Evidence on election manipulation, public concern, and mitigations (from research-ai-fears-perplexity.md section 2.2 + research-ai-concerns)
- Status: high confidence, light current usage, concrete real example (Slovakia)
- Unused: Slovakia real example, "plausible deniability" governance failure, provenance infrastructure as solution

maslow-hierarchy-alternative-framing – Need theories as framework for post-scarcity motivation (absence of detailed research)
- Status: low confidence (not yet researched), critical gap for "what do people do beyond work" argument
- Recommendation: Research and integrate before publication

High: Well-sourced, empirical evidence, multiple supporting sources
Medium: Grounded in research but with caveats, some speculative elements, or limited evidentiary base
Low: Philosophically interesting, speculative, or raises important questions but lacks empirical foundation

Integrate Constitutional AI details into Chapter 14 as concrete alignment mechanism
Use job displacement gender disparity (79% women) in equity discussion
Develop regulatory resistance argument using force-multiplier framework
Feature 14% already-displaced statistic to ground displacement discussion in present reality

Maslow's hierarchy / need theories – Critical for explaining post-scarcity motivation
Empirical validation of "fiction training data" effects on AI values
Deep learning self-correction mechanisms – Currently theoretical; verify with AI safety literature

Check before writing sections: Search by topic (e.g., job displacement, AI risks) to see what research exists
Review "Unused Material" sections: Each page identifies what could strengthen adjacent chapters
Follow confidence ratings: Use high-confidence research more prominently; flag low-confidence material as questions
Cross-reference: Use [slug](#unresolved-slug) notation to link to related concept, evidence, or counterargument pages
Update status: As research is integrated, update the page status (seed → developing → solid) and last_updated timestamp

Total research pages: 13
High confidence: 7 pages
Medium confidence: 4 pages
Low confidence: 2 pages

Last ingested: 2026-04-15
Next update: Review after Chapter 14 completion