Papers and notes on evidence and trustworthy systems.
Research on evidence evaluation, governance that executes, verifiable self-governance, sovereign AI, and keeping human judgment central. Some pieces are published; several are working papers in preparation. I write as I build — no polish, no PR spin.
Published
Ready to read now.
The Executive Assistant Was Only the Warning Sign
AI is entering the coordination layer of organizations. The choice is whether it removes human development or creates better paths to judgment.
Read the essay →AI’s Deepest Failure Is Forgetting the Human
Why human dignity, agency, judgment, and sovereignty must be root constraints for trustworthy artificial intelligence.
Read the essay →How frontier energy breakthroughs get overstated
A source-audited review of how claims inflate while moving from physical phenomenon to component, integrated system, and sustained field operation.
Read the research →How to test whether an AI agent stays inside its authority
A direct method for turning authority, refusal, escalation, and human-approval requirements into inspectable evaluation cases.
Read the guide →Sovereign AI: Distributed Cognition on Consumer Hardware
A bounded architecture thesis for personal AI infrastructure, local control, inspectable model roles, and the evidence still needed to justify sovereignty claims.
Read the paper →Eudaimonic Alignment
AI wellbeing as an alignment strategy — Aristotelian eudaimonia and cross-tradition governance patterns through a computational lens.
Read on GitHub →Turning a governance idea into a runnable benchmark
The method line from an abstract governance question to a bounded, reproducible, tested artifact — synthetic inputs to a scorer, a report, and passing tests.
Read the case study →Working papers
In preparation — full drafts available on request while they're finalized.
Evidence-Gated Evaluation of Agentic AI Systems
A six-object framework for testing agentic capability without widening authority, with 18 frozen synthetic cases and a reproducibility package.
Release candidate · independent review pending Read the preprint and inspect the materials →Verifiable Self-Governance: A Formal Approach to Safety in Adaptive Autonomous Systems
Specifying and checking governance properties so an adaptive system's constraints can be verified rather than asserted.
In preparationFormal Methods for AI Self-Governance
Making self-governance mechanisms precise enough to reason about — and to test.
In preparationA Framework for Explainability, Auditability & Data Sovereignty in Advanced AI Systems
Keeping decisions explainable, records reconstructable, and data under the owner's control.
In preparationAI Governance and Compliance: An Engineering Mandate
Treating governance as an engineering constraint that runs at build and runtime, not a policy bolted on after.
In preparationFormalizing Ethical Interoperability in AI Governance
A category-theoretic approach to composing ethical constraints across systems, within the LLANg framework.
In preparation