Founder & Principal · Human Signal

Dr. Tuboise Floyd

Founding Pedagogical Theorist of AI Governance · Host, The AI Governance Briefing · TAIMScore™ Certified Assessor · Defense Compliance Partner · Washington, DC

If you sit inside a federal agency, university, or enterprise deploying autonomous AI without the governance infrastructure to contain it — this page is for you.

Most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it.
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Dr. Tuboise Floyd, Founder of Human Signal

The Engine

Adults do not learn governance from documentation.

They learn it from failure.

My doctorate in Adult Education from Auburn powers everything I build: fifteen years studying how institutions learn, resist, and break under structural pressure — embedded in federal health, enterprise communications, regional health systems, higher education, and association governance. That principle is why Human Signal exists, and why its frameworks hold under real institutional weight instead of collapsing the first time the pressure is real.

The Two-Minute Governance Test

One sentence decides which failures reach leadership.

A 17-page instrument that finds the sentence in your AI policy deciding which failures never reach leadership — then walks you through the rewrite before an assessor, a regulator, or the failure itself finds it first. Working time: one afternoon.

Open the door → humansignal.io/two-minute-test

Frameworks

What I Build

Original frameworks operators can actually use — built from the pattern of how institutions break, not from vendor documentation.

Analysis

The Trust Gap

Two levels of institutional AI governance failure. Structural absence. Structural insufficiency. Permitted is not the same as admissible.

Read the framework →

Diagnostic

GASP™

Governance As a Structural Problem. Most institutions do not have a governance problem because they lack the right software. They have one because they never built the right structure.

Read the diagnostic →

Thesis

The Workflow Thesis

Distinguishes AI model failure from governance structure failure. Most institutions will not fail because of a bad model — they fail because of the structure around it.

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Practice

Noise Discipline

Cognitive defense for operators drowning in vendor hype. A structured practice for cutting through artificial noise and protecting institutional judgment.

Learn the practice →

Framework

The L.E.A.C. Protocol™

AI infrastructure viability across four physical constraints: Lithography, Energy, Arbitrage, Cooling. If your strategy does not address all four, you are leaking value.

Read the protocol →

Architecture

PSA® · AIaPI™

Presence Signaling Architecture and AI as Presence Interface — frameworks for restoring human visibility in systems designed to observe, not listen.

Read the architecture →

Also in the canon: Hyperprompt™ — context control for LLM-enabled professional workflows.

The Platform

What We Publish

The AI Governance Briefing

An Apple Top 100 podcast on institutional failure, regulatory strategy, and enterprise risk.

The Failure Files™

Twelve governance failures mapped to the NIST AI RMF — autopsies operators can learn from before the failure becomes theirs.

The AI Governance Record

A quarterly newsletter for boards, CISOs, and institutional operators. No vendor capture. No fluff.

Visible Human Research

Peer-track work including The Pedagogy Problem in AI Governance (SSRN, 2026), introducing Presence Signaling Architecture® (PSA®).

Signal & Silence

An audio novel on AI surveillance, algorithmic compliance, and institutional erasure.

Engagements

Work With Human Signal

Five ways operators put this work to use — from a one-time diagnostic to a standing seat at the table.

Diagnostic

GASP™ Diagnostic

Governance assessment for institutions operating under board or regulatory pressure.

Training

Failure Files™ Workshops

Licensed cohort training that turns documented governance failures into applied practice.

Compliance · with MCGlobalTech

CMMC Level 2 Managed Compliance

Managed compliance for small defense contractors, delivered with MCGlobalTech ahead of the November 2026 Phase 2 deadline. The CMMC Assured Enclave reaches assessment-readiness in about 90 days — no internal compliance build required.

MCGlobalTech is a GSA MAS contract holder with a Secret Facility Clearance; delivery is theirs and an independent C3PAO certifies. About MCGlobalTech →

Advisory

Retained Advisory

Standing counsel for operators carrying AI governance without a Chief AI Officer.

See Advisory →

Institutional

Corporate Underwriting

Responsible AI founders and enterprise risk leaders fund the independent research layer — never the findings — and reach the operators who read the Record and listen to the Briefing.

See Underwriting →

Track Record

Experience

A career split between fixing systems under pressure and studying why they break.

Founder & Principal, Human Signal

Run an independent AI governance research and media operation as founder, editor, and host. Set the analytical line, build the frameworks, hold the wall against vendor capture.

Defense Compliance Partner, MCGlobalTech

Field application of the governance work inside the Defense Industrial Base — introducing DIB contractors to the CMMC Assured Enclave, a fully managed CMMC Level 2 workspace that reaches assessment-readiness in about 90 days. MCGlobalTech delivers and operates the enclave; an independent C3PAO certifies.

Co-Lead, Project Cerebellum Advocacy & Education, HISPI

Co-lead the advocacy and education arm of HISPI's AI governance think tank, turning NIST AI RMF 1.0 and ISO/IEC 42001 into briefings, panels, and training practitioners can apply — not just cite.

TAIMScore™ Certified Assessor, HISPI

Certified to operationalize the TAIMScore™ platform into measurable AI governance controls.

Board Director, Strategy & Modernization, APMP

Association governance under digital transformation pressure — an early case in board-level oversight of vendor selection and platform modernization.

Strategic Solutions Lead, Georgetown University

Aligned IT and administrative operations during a core operational overhaul — the institutional pattern the Workflow Thesis later names.

Education · Auburn University

PhD, Adult Education (Systems Theory) · BS, Business Management.

Independence

A hard wall between research and revenue.

Underwriters fund the research layer, never the findings. The community runs on member revenue alone. Independence is not a feature. It is the product.

Individual

Direct Contribution

A one-time or recurring contribution directly to the research. Every amount sustains the independence of this analysis.

Contribute →

Institutional

Corporate Underwriting

Organizations that share Human Signal's commitment to responsible AI can partner as named underwriters — with full editorial independence preserved.

See Tiers →

Grants

Research Grants

Foundations and public interest organizations seeking to support independent AI governance research are encouraged to reach out directly.

Get in Touch →

A Personal Invitation · The Human Signal Community on Circle

Join me in the Circle.

Everything on this page — the frameworks, the Failure Files, the diagnostics — gets worked live inside one room. Not a broadcast. A working room of operators who carry the same institutional weight you carry: the federal leads, the university executives, the CISOs, the board directors who have to make governance decisions inside systems they did not design.

I built the Human Signal Community because governance is not learned from documentation. It is learned from failure — ideally someone else's, before it becomes yours. Inside, we run the Failure Files™ cohorts, the GASP™ Live Diagnostic, and the Two-Minute Governance Test against real deployments. Member funded. No sponsor. No algorithm deciding what you see.

If you have been reading the Record, listening to the Briefing, or quietly running my frameworks against your own institution — this is the door. Come sit in the room where the work actually happens.

Take a seat. I will be in there.

— Dr. Tuboise Floyd

Join the Community → Take a free Commons seat