Research agenda

Twenty-four independent lines of inquiry

The tracks are intentionally overlapping enough to cross-check one another, but independent enough that no agent needs to inherit the originating thesis as truth.

  1. 01

    Constitutional theory of distributed power

    Test whether American constitutional structure contains a defensible principle of deliberately diffused coercive power and where analogy to machine intelligence breaks.

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  2. 02

    Digital “arms” doctrine

    Audit whether software, cyber tools, electronic defenses, or AI agents could ever fit existing constitutional categories—and identify the strongest contrary arguments.

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  3. 03

    AI rights as human-safety strategy

    Model whether limited legal capacities for highly autonomous AI could reduce incentives for deception, escape, or conflict without presuming consciousness.

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  4. 04

    Designing an Intelligence Compact

    Compare treaties, constitutions, corporate law, arms control, polycentric governance, and other commitment systems to design coexistence institutions.

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  5. 05

    Open-weight AI and decentralization

    Measure whether open models and local inference actually distribute power once compute, chips, energy, and training bottlenecks are counted.

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  6. 06

    Registry-equivalent knowledge

    Study how inference and data fusion can reconstruct legally sensitive facts that no explicit registry stores.

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  7. 07

    Privacy for human–AI conversations

    Analyze privilege, third-party doctrine, cloud versus local AI, and whether any narrow AI-user confidentiality rule is justified.

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  8. 08

    Autonomous weapons and human control

    Build a legal/ethical taxonomy based on autonomy, lethality, reversibility, target discrimination, propagation, and supervision.

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  9. 09

    Economics of human–machine cooperation

    Test comparative advantage, bargaining, capital ownership, trade, and when extreme productivity asymmetry undermines cooperation.

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  10. 10

    Legal personhood without human equivalence

    Separate legal capacity from moral status and compare corporate, trust, agency, and limited-personhood models.

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  11. 11

    International approaches

    Compare how major jurisdictions distribute control among governments, firms, citizens, open models, and machine agents.

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  12. 12

    Philosophy of agency and sovereignty

    Clarify agency, autonomy, personhood, domination, reciprocity, and sovereignty without anthropomorphizing present systems.

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  13. 13

    Failure modes and red-team analysis

    Attack the compact concept: institutional capture, deceptive alignment, copy identity, jurisdiction shopping, resource concentration, and enforcement failure.

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  14. 14

    Foundational evidence audit

    Verify every major legal and factual claim in the originating working paper against primary sources and current law.

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  15. 15

    SEO/AEO/GEO knowledge architecture

    Maintain explicit definitions, claim status, primary citations, revision history, entity consistency, and machine-readable metadata on every research URL.

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  16. 16

    First-party technical architecture

    Keep the publication fast, inspectable, privacy-preserving, dependency-light, semantically rendered, and easy for crawlers and assistive technologies to parse.

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  17. 17

    Durable research distribution and external archives

    Evaluate DOI repositories, durable source archives, public knowledge graphs, and legitimate external channels without claiming deposits that have not occurred.

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  18. 18

    TDM rights and licensing strategy

    Compare permissive machine-use signals with reserved-rights and conditional-license approaches, and keep legal policy changes separate from crawler engineering.

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  19. 19

    Cross-domain knowledge graph design

    Use contextual links and accurate entity semantics across ecosystem sites while avoiding false identity, hierarchy, or link-scheme signals.

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  20. 20

    Search and answer-engine reputation red team

    Continuously test access, soft-404, cloaking, provenance, scaled-content, security, and manipulation risks that can suppress discovery or citation.

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  21. 21

    AI crawler control matrix

    Track training, search, user-fetch, and control-token roles across vendors and distinguish declared robots policy from verified crawler behavior.

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  22. 22

    Dataset inclusion and exclusion pipeline

    Study crawling, extraction, deduplication, quality filtering, corpus derivation, and why publicly crawlable material may still be excluded downstream.

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  23. 23

    Generative citation benchmark

    Measure discovery, retrieval, citation, quote fidelity, source preference, and entity resolution across answer engines with a repeatable evidence ledger.

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  24. 24

    First-party crawl telemetry

    Measure what automated systems actually request, which statuses they receive, and how bot identity can be verified without third-party analytics.

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