Revised 2026-08-24
Accountability Arbitrage: Ethical Tensions in AI Agent Accountability Infrastructure
An account of accountability arbitrage in AI-agent governance, accepted in AI and Ethics.
AI and Ethics · Accepted 2026-09-01
INDEPENDENT PAPERS
Social Sciences
Research on economic incentives, verification, AI ethics, and institutional accountability. Explore how AI changes decisions, work, and the conditions of governance.
Papers 13
SSRN Working Papers present developed research. Some are maintained as standalone working papers by design. Research maturity and publication status are recorded separately.
13 papers · Academic publication first · record updated 2026-09-06
Accepted research 1
Working papers · developed research
Revised 2026-07-13
Access, Not Ownership: An Orthogonality Theorem for AI Governance Regimes
AI-governance debates often contrast public ownership of foundation-model infrastructure with private oligopoly.
Revised 2026-09-02
Is an LLM Conscious? Asymmetric Eliminativism and the Limits of Inherited Tests
"Is an LLM conscious?" is a clear and consequential question.
Revised 2026-08-30
Beyond GDP: A Three-Axis Theory of National Influence Capacity
Why can a commercially small state exercise influence beyond its output, while a materially large state loses leverage when alliances, payment channels, or administrative reach fracture? This article develops a three-axis theory of national influence capacity: productive capacity, mobilizable surplus, and network position.
Revised 2026-09-01
Manufactured Recognition: AI Companions and the Social Conditions of Reciprocity
AI companion services offer continuing, personalized conversation as friendship or intimacy.
Revised 2026-08-27
Verification Asymmetry under AI Substitution: Wage-Ratio Inversion and Apprenticeship Thresholds
This paper develops a two-sided theory of verification asymmetry under AI substitution.
Revised 2026-08-23
When More Payoff Information Hurts: Objective Alignment under Endogenous Feasibility
This paper develops a theory of objective information value when payoff information improves but an agent incompletely represents how current actions change future feasibility.
Revised 2026-08-31
Regulatory Gap: Why Model Risk Management Is Structurally Ill-Suited to Govern AI-Driven Code Transformation
Model Risk Management (MRM), set out in the Federal Reserve's SR 11-7 and OCC Bulletin 2011-12, governs quantitative models in banking.
Revised 2026-08-31
Who Proves What When AI Decides? The Accountability Gap in Global Grain Supply Chain Decisions
AI-assisted procurement, counterparty selection, pricing, and logistics raise a basic question for global grain supply chains: can an enterprise reconstruct who decided what, when, and on what information? This paper distinguishes product provenance from decision provenance and develops a four-layer accountability-void framework covering definition, regulation, enforcement, and precedent.
Preliminary Working Papers 4Show papersHide papers
These working papers include early ideas, initial drafts, and work awaiting further development or verification. They are shared as work in progress.
Borrowed Safety: How Output-Centric AI Governance Depletes the Human Capacity It Assumes
This preprint develops the borrowed-safety thesis: output-centric AI controls can reduce visible hosted-platform risk while weakening the distributed human capacity needed to secure, verify, and govern future AI deployment.
Revised 2026-05-28
AI Agents and Sarbanes-Oxley Internal Control: Six Structural Gaps in Financial Reporting
Sarbanes-Oxley Sections 302 and 404 rest on assumptions that humans design, operate, and monitor internal controls; that control operators are identifiable; and that audit evidence can be reconstructed.
Regulatory Accountability vs. Open Source License Terms in AI Agent Deployment: A Regulatory Gap Analysis
Financial institutions increasingly deploy AI systems built on open source components released under permissive licenses (Apache 2.0, MIT).
The $30 Billion Blog Post: AI Capability Perception as Systemic Risk in Financial Infrastructure
On February 23, 2026, Anthropic published a blog post describing Claude Code's capabilities for COBOL modernization.