Publications

Research archive

Thirteen active single-author papers and preprints released or submitted through SSRN in 2026. Eleven are distributed and two are currently submitted for SSRN review. Each entry identifies its central question and present evidence status.

Foundational Research

  1. Revised August 27, 2026
    Distributed · v2.4

    Operant Dyad: Defining the Task-Bound Working Relationship in Human-AI Systems

    Defines a working relationship formed through repeated goals, correction, retained state, inspection, and revision.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7234238DOI 10.2139/ssrn.7234238Read PDFView on SSRN
  2. April 9, 2026
    Distributed · Preliminary evidence

    Emergent Novelty in Human-AI Dyadic Systems: A Theoretical Framework and Preliminary Evidence

    Proposes a measurable account of output that may arise from the interaction dynamics of a particular human–AI pairing.

    Micheal Charles PrebleSSRN 7234219Single longitudinal case study; evidence remains preliminaryRead PDFView on SSRN
  3. September 3, 2026
    Distributed

    When Collaboration Becomes State: Formation Attribution in Persistent Human-AI Systems

    Proposes relationship-derived operational state as a category and outlines three testable conditions for attributing persistent configurations to a specific human participant.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7404838Conceptual proposal; not validatedView on SSRN

Human Capacity and Development

  1. September 5, 2026
    Distributed

    The Human-Development Conversion Constraint: What Should Count as Progress in AI-Rich Societies?

    Asks what evidence is required before increasing artificial capability can support a broader claim about human progress.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7416900Conceptual analysisRead PDFView on SSRN
  2. September 5, 2026
    Distributed

    Beyond Performance: A Diagnostic Method for Evaluating Human-Advancement Claims in AI-Mediated Systems

    Provides a pre-validation method for deciding whether improved AI-mediated performance supports a claim about human advancement, remains unproven, or fails.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028Manuscript v2.3SSRN 7416901Pre-validation method; not a validated instrumentRead PDFView on SSRN

Persistent State, Authority, and Correction

Two records in this group share the title Human Agency Under Consequential State and are different papers. SSRN 7496758 is the research paper. SSRN 7509878 is the policy paper.

  1. August 21, 2026
    Distributed

    The Persistent Primitive: Configuring Human-Governed Continuity for Persistent Human–AI Interaction

    Derives requirements for provenance, validity, correction, authority, purpose limitation, revocation, and portability.

    Micheal Charles PrebleSSRN 7328783Conceptual frameworkRead PDFView on SSRN
  2. August 26, 2026
    Distributed

    Authority Does Not Travel by Default: Legal Provenance and Revalidation in Persistent Human–AI Continuity

    Asks what a receiving system must reevaluate before it uses relationship state transferred across a technical or organizational boundary.

    Micheal Charles PrebleSSRN 7359661Conceptual legal and institutional analysisRead PDFView on SSRN
  3. September 5, 2026
    Distributed

    Governing Relationship State: A Legal Framework for Human-Controlled AI Continuity

    Identifies lawful continuing reliance—not technical possession—as the central governance problem when relationship state remains available after its authority has changed.

    Micheal Charles PrebleSSRN 7396659Conceptual legal and institutional analysisRead PDFView on SSRN
  4. September 21, 2026
    Distributed · Research paper

    Human Agency Under Consequential State: Correction, Revalidation, and Recoverable Consequences in Persistent Computational Systems

    Research paper. Develops a framework for the interval after consequential state changes and reports two bounded public-record pilots. Not the policy paper below.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7496758Framework with bounded pilots; not validatedRead PDFView on SSRN
  5. September 2026
    Submitted · Policy paper

    Human Agency Under Consequential State: A Policy Framework for Correction, Revalidation, and Recoverable Consequences

    Policy paper. Develops a Consequence Revalidation Framework and the idea of corrective continuity. A separate paper from the research paper above, not a version of it.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7509878Submitted to SSRN · public abstract page pendingAll Rights ReservedSSRN title correction requested September 23, 2026; the repository record may temporarily display the earlier research-paper title.Read PDF
  6. September 23, 2026
    Submitted

    When Correction Cannot Catch the System: Temporal Adequacy of Human Authority Over Consequential Personal State

    Distinguishes accepted correction from effective correction and proposes temporal adequacy as a risk-bounded test of whether human authority over consequential personal state still reaches the materially consequential reliance paths that remain.

    Micheal Charles Preble · Independent ResearcherORCID 0009-0005-3906-6028SSRN 7514120Conceptual governance analysisSubmitted to SSRN · public abstract page pending; its public SSRN record is not yet availableAll Rights ReservedRead PDF

Environmental Partition

  1. September 13, 2026
    Distributed

    The Water We Swim In: A Candidate Environmental Partition for Persistent Human-AI Interaction

    Proposes a candidate provenance-and-control-surface partition between inherited human conditions and engineered synthetic conditions in persistent human-AI interaction, and restricts Ecotone to observable, activated boundary processes.

    Micheal Charles Preble · Independent ResearcherManuscript v0.3SSRN 7456738Candidate partition; not validated; OD-ENV-01 pre-pilot, held at provenance gateCC BY 4.0Read PDFView on SSRN

Methods and Measurement

  1. September 6, 2026
    Distributed

    LiO v0.1: Deterministic Permission Composition Across Indispensable Inferential Bridges

    Introduces a minimal composition primitive that determines which downstream assertion permissions survive every indispensable bridge in a declared derivation.

    Micheal Charles Preble · Independent ResearcherSSRN 7424499Computational method; cross-model reproduction of tested composition behavior, not independently validatedCC BY 4.0Read PDFView on SSRN

Methods in development

These methods and research directions are distinct from deposited publications.

WMM-01 · ECAM · OD-INV · Structural Reducibility · Human Capacity Protection · Carrier-localization protocols